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")),
]
