class Meta(AtomRelation.Meta): properties = [ PropIntel(name="sum", label="Sum", data_type=float, widget_type='float_entry', is_column=True, storable=True, has_widget=True, minimum=0.0), PropIntel(name="atom1", label="Substituting Atom", data_type=object, is_column=True, storable=True, has_widget=True), PropIntel(name="atom2", label="Original Atom", data_type=object, is_column=True, storable=True, has_widget=True), ] store_id = "AtomRatio" allowed_relations = { "AtomRatio": [ ("__internal_sum__", lambda o: "%s: SUM" % o.name), ("value", lambda o: "%s: RATIO" % o.name), ], "AtomContents": [("value", lambda o: o.name)], }
class Meta(DataModel.Meta): properties = [ # TODO add labels OptionPropIntel(name="pattern", data_type=str, storable=True, has_widget=True, options={ "exp": "Experimental Pattern", "calc": "Calculated Pattern" }), PropIntel(name="max_threshold", data_type=float, storable=True, has_widget=True, widget_type="float_entry"), PropIntel(name="steps", data_type=int, storable=True, has_widget=True), PropIntel(name="sel_threshold", data_type=float, storable=True, has_widget=True, widget_type="float_entry"), PropIntel(name="sel_num_peaks", data_type=int, storable=True, has_widget=True, widget_type="label"), PropIntel(name="threshold_plot_data", data_type=object, storable=True), ]
class Meta(PyXRDModel.Meta): properties = [ PropIntel(name="current_project", observable=True), PropIntel(name="current_specimen", observable=True), PropIntel(name="current_specimens", observable=True), PropIntel(name="needs_plot_update", observable=True) ]
class Meta(DataModel.Meta): properties = [ PropIntel(name="name", label="Name", data_type=unicode, is_column=True, storable=True, has_widget=True), PropIntel(name="value", label="Value", data_type=float, is_column=True, storable=True, has_widget=True, widget_type='float_entry', refinable=True), PropIntel(name="enabled", label="Enabled", data_type=bool, is_column=True, storable=True, has_widget=True), PropIntel(name="driven_by_other", label="Driven by other", data_type=bool, is_column=True, storable=False, has_widget=False) ] store_id = "AtomRelation" file_filters = [ ("Atom relation", get_case_insensitive_glob("*.atr")), ] allowed_relations = {}
class Meta(ChildModel.Meta): properties = [ # TODO add labels PropIntel(name="refinables", label="", has_widget=True, data_type=object, is_column=True, widget_type="object_tree_view", class_type=RefinableWrapper), PropIntel(name="refine_options", label="", data_type=dict, is_column=False), OptionPropIntel( name="refine_method_index", label="Refinement method index", has_widget=True, data_type=int, options={ key: method.name for key, method in RefineMethodManager.get_all_methods().iteritems() }), PropIntel(name="make_psp_plots", label="", data_type=bool, is_colum=False, has_widget=True, storable=False), ] store_id = "Refinement"
class Meta(PyXRDModel.Meta, Storable.Meta): store_id = "RefinementInfo" properties = [ PropIntel(name="minimum", data_type=float, storable=True), PropIntel(name="maximum", data_type=float, storable=True), PropIntel(name="refine", data_type=bool, storable=True), ]
class Meta(DataModel.Meta): properties = [ PropIntel(name="matches", data_type=list, has_widget=True), PropIntel(name="minerals", data_type=list, has_widget=True), PropIntel(name="matches_changed", data_type=object, has_widget=False, storable=False) ]
class Meta(DataModel.Meta): description = "Abstract CSDS distr." explanation = "" properties = [ PropIntel(name="distrib", label="CSDS Distribution", data_type=object, is_column=True), PropIntel(name="inherited", label="Inherited", data_type=bool), ]
class Meta(AbstractPhase.Meta): properties = [ PropIntel(name="display_color", data_type=str, label="Display color", is_column=True, has_widget=True, widget_type='color', storable=True), PropIntel(name="raw_pattern", label="Raw pattern", data_type=object, is_column=True, storable=True, has_widget=True, widget_type="xy_list_view"), ] store_id = "RawPatternPhase" file_filters = [ ("Phase file", get_case_insensitive_glob("*.PHS")), ] rp_filters = xrd_parsers.get_import_file_filters() rp_export_filters = xrd_parsers.get_export_file_filters()
class Meta(Model.Meta): properties = [ PropIntel(name="atom", label="Atom", data_type=object, is_column=True), PropIntel(name="prop", label="Prop", data_type=object, is_column=True), PropIntel(name="amount", label="Amount", data_type=float, is_column=True, minimum=0.0), ]
class Meta(DataModel.Meta): independent_label_map = [] properties = [ PropIntel(name="name", inh_name=None, label="Probabilities", data_type=unicode), PropIntel(name="W_valid", inh_name=None, label="Valid W matrix", data_type=object), PropIntel(name="P_valid", inh_name=None, label="Valid P matrix", data_type=object), ]
class Meta(ChildModel.Meta): properties = [ # TODO add labels PropIntel(name="points", data_type=int, has_widget=True), PropIntel(name="residual_pattern", data_type=object), PropIntel(name="der_exp_pattern", data_type=object), PropIntel(name="der_calc_pattern", data_type=object), PropIntel(name="der_residual_pattern", data_type=object), PropIntel(name="Rp", data_type=float, has_widget=True), PropIntel(name="Rpder", data_type=float, has_widget=True), PropIntel(name="Rwp", data_type=float, has_widget=True), ]
class _R0Meta(_AbstractProbability.Meta): store_id = "R0G%dModel" % pasG properties = [ PropIntel( name="F%d" % (g + 1), minimum=0.0, maximum=1.0, default=0.8, label="W%(g)d/Sum(W%(g)d+...+W%(G)d)" % {'g':g + 1, 'G':pasG }, math_label=r"$\large\frac{W_{%(g)d}}{\sum_{i=%(g)d}^{%(G)d} W_i}$" % {'g':g + 1, 'G':pasG }, data_type=float, refinable=True, storable=True, has_widget=True, is_independent=True, # flag for the view creation stor_name="_F%d" % (g + 1), inh_name="inherit_F%d" % (g + 1), inh_from="parent.based_on.probabilities") \ for g in range(pasG - 1) ] + [ PropIntel(name="inherit_F%d" % (g + 1), label="Inherit flag for F%d" % (g + 1), data_type=bool, refinable=False, storable=True, has_widget=True, default=False, widget_type="toggle") \ for g in range(pasG - 1) ]
class Meta(DataModel.Meta): properties = [ # TODO add labels PropIntel(name="name", label="Name", data_type=str, storable=True, has_widget=True, is_column=True), PropIntel(name="refinables", label="", data_type=object, widget_type="object_tree_view", class_type=RefinableWrapper), PropIntel(name="refine_options", label="", data_type=dict, storable=True, stor_name="all_refine_options"), PropIntel(name="refine_method_index", label="", data_type=int, storable=True), PropIntel(name="auto_run", label="", data_type=bool, is_column=True, storable=True, has_widget=True), PropIntel(name="auto_bg", label="", data_type=bool, is_column=True, storable=True, has_widget=True), PropIntel(name="needs_update", label="", data_type=object, storable=False), # Signal used to indicate the mixture needs an update PropIntel(name="needs_reset", label="", data_type=object, storable=False,), # Signal used to indicate the mixture matrix needs to be re-built... ] store_id = "Mixture"
class Meta(AbstractPhase.Meta): properties = [ PropIntel(name="based_on", data_type=object, label="Based on phase", is_column=True, has_widget=True, widget_type='custom'), PropIntel(name="sigma_star", data_type=float, label="σ* [°]", math_label="$\sigma^*$ [°]", is_column=True, has_widget=True, storable=True, refinable=True, minimum=0.0, maximum=90.0, inh_name="inherit_sigma_star", stor_name="_sigma_star", inh_from="based_on"), PropIntel(name="display_color", data_type=str, label="Display color", is_column=True, has_widget=True, widget_type='color', storable=True, inh_name="inherit_display_color", stor_name="_display_color", inh_from="based_on"), PropIntel(name="inherit_sigma_star", data_type=bool, label="Inh. sigma star", is_column=True, has_widget=True, storable=True), PropIntel(name="inherit_display_color", data_type=bool, label="Inh. display color", is_column=True, has_widget=True, storable=True), PropIntel(name="inherit_CSDS_distribution", data_type=bool, label="Inh. mean CSDS", is_column=True, has_widget=True, storable=True), PropIntel(name="CSDS_distribution", data_type=object, label="CSDS Distribution", is_column=True, has_widget=True, storable=True, refinable=True, widget_type="custom", inh_name="inherit_CSDS_distribution", stor_name="_CSDS_distribution", inh_from="based_on"), PropIntel(name="probabilities", data_type=object, label="Probabilities", is_column=True, has_widget=True, storable=True, refinable=True, widget_type="custom"), PropIntel(name="components", data_type=object, label="Components", is_column=True, has_widget=True, storable=True, refinable=True, widget_type="custom", class_type=Component), ] store_id = "Phase" file_filters = [ ("Phase file", get_case_insensitive_glob("*.PHS")), ]
class Meta(DataModel.Meta): store_id = "AtomType" properties = [ PropIntel(name="atom_nr", label="Atom Nr", data_type=int, widget_type="entry", **PropIntel.ST_WID_COL), PropIntel(name="name", label="Name", data_type=unicode, **PropIntel.ST_WID_COL), PropIntel(name="charge", label="Charge", data_type=float, widget_type="float_entry", **PropIntel.ST_WID_COL), PropIntel(name="weight", label="Atomic weight", data_type=float, widget_type="float_entry", **PropIntel.ST_WID_COL), PropIntel(name="debye", label="Debye-Waller factor", data_type=float, widget_type="float_entry", **PropIntel.ST_WID_COL), PropIntel(name="par_c", label="c", data_type=float, widget_type="float_entry", **PropIntel.ST_WID_COL), ] + [ PropIntel(name="par_a%d" % i, label="a%d" % i, data_type=float, widget_type="float_entry", **PropIntel.ST_WID_COL) for i in xrange(1, 6) ] + [ PropIntel(name="par_b%d" % i, label="b%d" % i, data_type=float, widget_type="float_entry", **PropIntel.ST_WID_COL) for i in xrange(1, 6) ] csv_storables = [(prop.name, prop.name) for prop in properties if prop.storable]
class Meta(_AbstractProbability.Meta): ind_properties = [ PropIntel( name="W1", label="W1", math_label=r"$W_1$", stor_name="_W1", inh_name="inherit_W1", inh_from="parent.based_on.probabilities", is_independent=True, # flag for the view creation minimum=0.0, maximum=1.0, data_type=float, **PropIntel.REF_ST_WID), PropIntel( name="P11_or_P22", label="P11_or_P22", stor_name="_P11_or_P22", inh_name="inherit_P11_or_P22", inh_from="parent.based_on.probabilities", is_independent=True, # flag for the view creation math_label=r"$P_{11} %s$ or $\newline P_{22} %s$" % (mt_range(0.0, "W_1", 0.5), mt_range(0.5, "W_1", 1.0)), minimum=0.0, maximum=1.0, data_type=float, **PropIntel.REF_ST_WID), ] inh_properties = [ PropIntel(name="inherit_%s" % prop.name, label="Inherit flag for %s" % prop.name, data_type=bool, refinable=False, storable=True, has_widget=True, widget_type="toggle") \ for prop in ind_properties ] properties = ind_properties + inh_properties store_id = "R1G2Model"
class Meta(StorableXYData.Meta): properties = [ PropIntel(name="label", data_type=unicode, storable=True), PropIntel(name="color", data_type=str, storable=True, has_widget=True, widget_type="color"), PropIntel(name="inherit_color", data_type=bool, storable=True, has_widget=True, widget_type="toggle"), PropIntel(name="lw", data_type=float, storable=True, has_widget=True, widget_type="spin"), PropIntel(name="inherit_lw", data_type=bool, storable=True, has_widget=True, widget_type="toggle"), OptionPropIntel(name="ls", data_type=str, storable=True, has_widget=True, options=settings.PATTERN_LINE_STYLES), PropIntel(name="inherit_ls", data_type=bool, storable=True, has_widget=True, widget_type="toggle"), OptionPropIntel(name="marker", data_type=str, storable=True, has_widget=True, options=settings.PATTERN_MARKERS), PropIntel(name="inherit_marker", data_type=bool, storable=True, has_widget=True, widget_type="toggle"), ] store_id = "PyXRDLine" inherit_format = "display_exp_%s"
class Meta(_AbstractCSDSDistribution.Meta): description = "Log-normal CSDS distr. (Drits et. al, 1997)" properties = [ PropIntel(name="maximum", label="Maximum CSDS", minimum=1, maximum=1000, is_column=True, data_type=float), PropIntel(name="minimum", label="Minimum CSDS", minimum=1, maximum=1000, is_column=True, data_type=float), PropIntel(name="average", label="Average CSDS", minimum=1, maximum=200, is_column=True, data_type=float, refinable=True, storable=True, has_widget=True), PropIntel(name="alpha_scale", label="α scale factor", minimum=0, maximum=10, is_column=True, data_type=float), PropIntel(name="alpha_offset", label="α offset factor", minimum=-5, maximum=5, is_column=True, data_type=float), PropIntel(name="beta_scale", label="β² scale factor", minimum=0, maximum=10, is_column=True, data_type=float), PropIntel(name="beta_offset", label="β² offset factor", minimum=-5, maximum=5, is_column=True, data_type=float), ] store_id = "DritsCSDSDistribution"
class Meta(AtomRelation.Meta): properties = [ PropIntel(name="atom_contents", label="Atom contents", class_type=AtomContentObject, data_type=object, is_column=True, storable=True, has_widget=True), ] store_id = "AtomContents" allowed_relations = { "AtomRatio": [ ("__internal_sum__", lambda o: "%s: SUM" % o.name), ("value", lambda o: "%s: RATIO" % o.name), ], }
class Meta(DataModel.Meta): store_id = "Atom" properties = [ # TODO add labels PropIntel(name="name", data_type=unicode, **PropIntel.ST_WID_COL), PropIntel(name="default_z", data_type=float, **PropIntel.ST_WID_COL), PropIntel(name="z", data_type=float, **PropIntel.WID_COL), PropIntel(name="pn", data_type=float, **PropIntel.ST_WID_COL), PropIntel(name="atom_type", data_type=object, **PropIntel.WID_COL), PropIntel(name="stretch_values", data_type=bool), ] layer_filters = [ ("Layer file", get_case_insensitive_glob("*.lyr")), ]
class Meta(DataModel.Meta): properties = [ PropIntel(name="name", label="Name", data_type=unicode, is_column=True), PropIntel(name="value", label="Value", data_type=float, widget_type='float_entry', storable=True, has_widget=True, refinable=True), PropIntel(name="factor", label="Factor", data_type=float, widget_type='float_entry', storable=True, has_widget=True), PropIntel(name="constant", label="Constant", data_type=float, widget_type='float_entry', storable=True, has_widget=True), PropIntel(name="prop", label="Property", data_type=object, widget_type='combo', storable=True, has_widget=True), PropIntel(name="enabled", label="Enabled", data_type=bool, storable=True, has_widget=True), PropIntel(name="ready", label="Ready", data_type=bool), PropIntel(name="inherited", label="Inherited", data_type=bool) ] store_id = "UnitCellProperty"
class Meta(_AbstractProbability.Meta): store_id = "R2G3Model" ind_properties = [ PropIntel(name="W1", label="W1 (> 0.5)", math_label=r"$W_1$", stor_name="_W1", inh_name="inherit_W1", inh_from="parent.based_on.probabilities", is_independent=True, # flag for the view creation minimum=0.5, maximum=1.0, data_type=float, **PropIntel.REF_ST_WID), PropIntel(name="P111_or_P212", label="P111 (W1 < 2/3) or\nPx1x (W1 > 2/3)", stor_name="_P111_or_P212", inh_name="inherit_P111_or_P212", inh_from="parent.based_on.probabilities", is_independent=True, # flag for the view creation math_label=r"$P_{111} %s$ or $\newline P_{x1x} %s$" % ( mt_range(0.5, "W_1", 2.0 / 3.0), mt_range(2.0 / 3.0, "W_1", 1.0)), minimum=0.0, maximum=1.0, data_type=float, **PropIntel.REF_ST_WID), PropIntel(name="G1", label="W2/(W2+W3)", math_label=r"$\large\frac{W_2}{W_3 + W_2}$", stor_name="_G1", inh_name="inherit_G1", inh_from="parent.based_on.probabilities", is_independent=True, # flag for the view creation minimum=0.0, maximum=1.0, data_type=float, **PropIntel.REF_ST_WID), PropIntel(name="G2", label="(W212+W213)/(W212+W213+W312+W313)", stor_name="_G2", inh_name="inherit_G2", inh_from="parent.based_on.probabilities", is_independent=True, # flag for the view creation math_label=r"$\large\frac{W_{212} + W_{213}}{W_{212} + W_{213} + W_{312} + W_{313}}$", minimum=0.0, maximum=1.0, data_type=float, **PropIntel.REF_ST_WID), PropIntel(name="G3", label="W212/(W212+W213)", stor_name="_G3", inh_name="inherit_G3", inh_from="parent.based_on.probabilities", is_independent=True, # flag for the view creation math_label=r"$\large\frac{W_{212}}{W_{212} + W_{213}}$", minimum=0.0, maximum=1.0, data_type=float, **PropIntel.REF_ST_WID), PropIntel(name="G4", label="W312/(W312+W313)", stor_name="_G4", inh_name="inherit_G4", inh_from="parent.based_on.probabilities", is_independent=True, # flag for the view creation math_label=r"$\large\frac{W_{312}}{W_{312} + W_{313}}$", minimum=0.0, maximum=1.0, data_type=float, **PropIntel.REF_ST_WID), ] inh_properties = [ PropIntel(name="inherit_%s" % prop.name, label="Inherit flag for %s" % prop.name, data_type=bool, refinable=False, storable=True, has_widget=True, widget_type="toggle") \ for prop in ind_properties ] properties = ind_properties + inh_properties
class Meta(PyXRDLine.Meta): properties = [ PropIntel(name="bg_position", data_type=float, has_widget=True, widget_type="float_entry"), PropIntel(name="bg_scale", data_type=float, has_widget=True, widget_type="float_entry"), PropIntel(name="bg_pattern", data_type=object), OptionPropIntel(name="bg_type", data_type=int, has_widget=True, options=settings.PATTERN_BG_TYPES), PropIntel(name="smooth_degree", data_type=int, has_widget=True), OptionPropIntel(name="smooth_type", data_type=int, has_widget=True, options=settings.PATTERN_SMOOTH_TYPES), PropIntel(name="noise_fraction", data_type=float, has_widget=True, widget_type="spin"), PropIntel(name="shift_value", data_type=float, has_widget=True, widget_type="float_entry"), OptionPropIntel(name="shift_position", data_type=float, has_widget=True, options=settings.PATTERN_SHIFT_POSITIONS), PropIntel(name="cap_value", data_type=float, has_widget=True, storable=True, widget_type="float_entry"), PropIntel(name="area_startx", data_type=float, has_widget=True, widget_type="float_entry"), PropIntel(name="area_endx", data_type=float, has_widget=True, widget_type="float_entry"), PropIntel(name="area_pattern", data_type=object), PropIntel(name="area_result", data_type=float, has_widget=True, widget_type="label"), PropIntel(name="strip_startx", data_type=float, has_widget=True, widget_type="float_entry"), PropIntel(name="strip_endx", data_type=float, has_widget=True, widget_type="float_entry"), PropIntel(name="noise_level", data_type=float, has_widget=True, widget_type="float_entry"), PropIntel(name="stripped_pattern", data_type=object), ] store_id = "ExperimentalLine"
class Meta(PyXRDLine.Meta): properties = [ PropIntel(name="phase_colors", data_type=list), ] store_id = "CalculatedLine" inherit_format = "display_calc_%s"
class Meta(ChildModel.Meta): properties = [ PropIntel(name="data_changed", storable=False), PropIntel(name="visuals_changed", storable=False), ]
class Meta(PyXRDModel.Meta): properties = [ PropIntel(name="parent", data_type=object, storable=False), PropIntel(name="removed", data_type=object, storable=False), PropIntel(name="added", data_type=object, storable=False), ]
class Meta(DataModel.Meta): properties = [ PropIntel(name="name", data_type=unicode, label="Name", is_column=True, has_widget=True, storable=True), PropIntel(name="linked_with", data_type=object, label="Linked with", widget_type='custom', is_column=True, has_widget=True, storable=True), PropIntel(name="d001", data_type=float, label="Cell length c [nm]", is_column=True, has_widget=True, storable=True, refinable=True, minimum=0.0, maximum=5.0, inh_name="inherit_d001", stor_name="_d001", inh_from="linked_with"), PropIntel(name="lattice_d", data_type=float, label="Lattice c length [nm]"), PropIntel(name="default_c", data_type=float, label="Default c length [nm]", is_column=True, has_widget=True, storable=True, minimum=0.0, maximum=5.0, inh_name="inherit_default_c", stor_name="_default_c", inh_from="linked_with"), PropIntel(name="delta_c", data_type=float, label="C length dev. [nm]", is_column=True, has_widget=True, storable=True, refinable=True, minimum=0.0, maximum=0.05, inh_name="inherit_delta_c", stor_name="_delta_c", inh_from="linked_with"), PropIntel(name="ucp_a", data_type=object, label="Cell length a [nm]", is_column=True, has_widget=True, storable=True, refinable=True, inh_name="inherit_ucp_a", stor_name="_ucp_a", inh_from="linked_with"), PropIntel(name="ucp_b", data_type=object, label="Cell length b [nm]", is_column=True, has_widget=True, storable=True, refinable=True, inh_name="inherit_ucp_b", stor_name="_ucp_b", inh_from="linked_with"), PropIntel(name="inherit_d001", data_type=bool, label="Inh. cell length c", is_column=True, has_widget=True, storable=True), PropIntel(name="inherit_ucp_b", data_type=bool, label="Inh. cell length b", is_column=True, has_widget=True, storable=True), PropIntel(name="inherit_ucp_a", data_type=bool, label="Inh. cell length a", is_column=True, has_widget=True, storable=True), PropIntel(name="inherit_default_c", data_type=bool, label="Inh. default length c", is_column=True, has_widget=True, storable=True), PropIntel(name="inherit_delta_c", data_type=bool, label="Inh. c length dev.", is_column=True, has_widget=True, storable=True), PropIntel(name="inherit_layer_atoms", data_type=bool, label="Inh. layer atoms", is_column=True, has_widget=True, storable=True), PropIntel(name="inherit_interlayer_atoms", data_type=bool, label="Inh. interlayer atoms", is_column=True, has_widget=True, storable=True), PropIntel(name="inherit_atom_relations", data_type=bool, label="Inh. atom relations", is_column=True, has_widget=True, storable=True), PropIntel(name="atom_relations", data_type=object, label="Atom relations", is_column=True, has_widget=True, storable=True, widget_type="custom", refinable=True, inh_name="inherit_atom_relations", stor_name="_atom_relations", inh_from="linked_with", class_type=AtomRelation), PropIntel(name="layer_atoms", data_type=object, label="Layer atoms", is_column=True, has_widget=True, storable=True, widget_type="custom", inh_name="inherit_layer_atoms", stor_name="_layer_atoms", inh_from="linked_with", class_type=Atom), PropIntel(name="interlayer_atoms", data_type=object, label="Interlayer atoms", is_column=True, has_widget=True, storable=True, widget_type="custom", inh_name="inherit_interlayer_atoms", stor_name="_interlayer_atoms", inh_from="linked_with", class_type=Atom), PropIntel(name="atoms_changed", data_type=object, is_column=False, storable=False, has_widget=False) ] store_id = "Component"
class Meta(DataModel.Meta): properties = [ # TODO add labels PropIntel(name="radius", data_type=float, storable=True, has_widget=True, widget_type="float_entry"), PropIntel(name="divergence", data_type=float, storable=True, has_widget=True, widget_type="float_entry"), PropIntel(name="soller1", data_type=float, storable=True, has_widget=True, widget_type="float_entry"), PropIntel(name="soller2", data_type=float, storable=True, has_widget=True, widget_type="float_entry"), PropIntel(name="min_2theta", data_type=float, storable=True, has_widget=True, widget_type="float_entry"), PropIntel(name="max_2theta", data_type=float, storable=True, has_widget=True, widget_type="float_entry"), PropIntel(name="steps", data_type=int, storable=True, has_widget=True), PropIntel(name="wavelength", data_type=float, storable=False, has_widget=False, widget_type="float_entry"), PropIntel(name="wavelength_distribution", data_type=object, storable=True, has_widget=True, widget_type="xy_list_view"), PropIntel(name="has_ads", data_type=bool, storable=True, has_widget=True), PropIntel(name="ads_fact", data_type=float, storable=True, has_widget=True, widget_type="float_entry"), PropIntel(name="ads_phase_fact", data_type=float, storable=True, has_widget=True, widget_type="float_entry"), PropIntel(name="ads_phase_shift", data_type=float, storable=True, has_widget=True, widget_type="float_entry"), PropIntel(name="ads_const", data_type=float, storable=True, has_widget=True, widget_type="float_entry"), ] store_id = "Goniometer"
class Meta(DataModel.Meta): properties = [ PropIntel(name="name", label="Name", data_type=str, **PropIntel.ST_WID), PropIntel(name="date", label="Date", data_type=str, **PropIntel.ST_WID), PropIntel(name="description", label="Description", data_type=str, widget_type="text_view", **PropIntel.ST_WID), PropIntel(name="author", label="Author", data_type=str, **PropIntel.ST_WID), OptionPropIntel(name="layout_mode", label="Layout mode", data_type=str, options=settings.DEFAULT_LAYOUTS, **PropIntel.ST_WID), PropIntel(name="display_marker_color", label="Color", data_type=str, widget_type="color", **PropIntel.ST_WID), PropIntel(name="display_marker_top_offset", label="Offset from base", data_type=float, widget_type="float_entry", **PropIntel.ST_WID), PropIntel(name="display_marker_angle", label="Angle", data_type=float, widget_type="float_entry", **PropIntel.ST_WID), OptionPropIntel(name="display_marker_align", label="Label alignment", data_type=str, options=settings.MARKER_ALIGNS, **PropIntel.ST_WID), OptionPropIntel(name="display_marker_base", label="Base connection", data_type=int, options=settings.MARKER_BASES, **PropIntel.ST_WID), OptionPropIntel(name="display_marker_top", label="Top connection", data_type=int, options=settings.MARKER_TOPS, **PropIntel.ST_WID), OptionPropIntel(name="display_marker_style", label="Line style", data_type=str, options=settings.MARKER_STYLES, **PropIntel.ST_WID), PropIntel(name="display_calc_color", label="Calculated color", data_type=str, widget_type="color", **PropIntel.ST_WID), PropIntel(name="display_exp_color", label="Experimental color", data_type=str, widget_type="color", **PropIntel.ST_WID), PropIntel(name="display_calc_lw", label="Calculated linewidth", data_type=int, widget_type="spin", **PropIntel.ST_WID), PropIntel(name="display_exp_lw", label="Experimental linewidth", data_type=int, widget_type="spin", **PropIntel.ST_WID), OptionPropIntel(name="display_calc_ls", label="Calculated linestyle", data_type=str, options=settings.PATTERN_LINE_STYLES, **PropIntel.ST_WID), OptionPropIntel(name="display_exp_ls", label="Experimental linestyle", data_type=str, options=settings.PATTERN_LINE_STYLES, **PropIntel.ST_WID), OptionPropIntel(name="display_calc_marker", label="Calculated line marker", data_type=str, options=settings.PATTERN_MARKERS, **PropIntel.ST_WID), OptionPropIntel(name="display_exp_marker", label="Experimental line marker", data_type=str, options=settings.PATTERN_MARKERS, **PropIntel.ST_WID), PropIntel(name="display_plot_offset", label="Pattern offset", data_type=float, widget_type="float_entry", **PropIntel.ST_WID), PropIntel(name="display_group_by", label="Group patterns by", data_type=int, widget_type="spin", **PropIntel.ST_WID), PropIntel(name="display_label_pos", label="Default label position", data_type=float, widget_type="float_entry", **PropIntel.ST_WID), OptionPropIntel(name="axes_xlimit", label="X limit", data_type=int, options=settings.AXES_XLIMITS, **PropIntel.ST_WID), PropIntel(name="axes_xmin", label="min. [°2T]", data_type=float, widget_type="spin", **PropIntel.ST_WID), PropIntel(name="axes_xmax", label="max. [°2T]", data_type=float, widget_type="spin", **PropIntel.ST_WID), PropIntel(name="axes_xstretch", label="Stretch X-axis to fit window", data_type=bool, **PropIntel.ST_WID), PropIntel(name="axes_dspacing", label="Show d-spacing in x-axis", data_type=bool, **PropIntel.ST_WID), OptionPropIntel(name="axes_ynormalize", label="Y scaling", data_type=int, options=settings.AXES_YNORMALIZERS, **PropIntel.ST_WID), OptionPropIntel(name="axes_ylimit", label="Y limit", data_type=int, options=settings.AXES_YLIMITS, **PropIntel.ST_WID), PropIntel(name="axes_ymin", label="min. [counts]", data_type=float, widget_type="spin", **PropIntel.ST_WID), PropIntel(name="axes_ymax", label="max. [counts]", data_type=float, widget_type="spin", **PropIntel.ST_WID), PropIntel(name="axes_yvisible", label="Y-axis visible", data_type=bool, **PropIntel.ST_WID), PropIntel(name="specimens", label="Specimens", data_type=object, widget_type="object_list_view", class_type=Specimen, **PropIntel.ST_WID), PropIntel(name="phases", data_type=object, class_type=Phase, **PropIntel.ST), PropIntel(name="mixtures", data_type=object, class_type=Mixture, **PropIntel.ST), PropIntel(name="atom_types", data_type=object, class_type=AtomType, **PropIntel.ST), PropIntel(name="needs_saving", data_type=bool), ] store_id = "Project" file_filters = [ ("PyXRD Project files", get_case_insensitive_glob("*.pyxrd", "*.zpd")), ] import_filters = [ ("Sybilla XML files", get_case_insensitive_glob("*.xml")), ]