mirror of
https://github.com/aykhans/AzSuicideDataVisualization.git
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265 lines
6.3 KiB
Python
265 lines
6.3 KiB
Python
from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
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import copy as _copy
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class Starts(_BaseTraceHierarchyType):
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# class properties
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# --------------------
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_parent_path_str = "streamtube"
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_path_str = "streamtube.starts"
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_valid_props = {"x", "xsrc", "y", "ysrc", "z", "zsrc"}
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# x
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# -
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@property
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def x(self):
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"""
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Sets the x components of the starting position of the
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streamtubes
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The 'x' property is an array that may be specified as a tuple,
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list, numpy array, or pandas Series
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Returns
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-------
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numpy.ndarray
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"""
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return self["x"]
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@x.setter
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def x(self, val):
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self["x"] = val
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# xsrc
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# ----
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@property
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def xsrc(self):
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"""
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Sets the source reference on Chart Studio Cloud for `x`.
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The 'xsrc' property must be specified as a string or
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as a plotly.grid_objs.Column object
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Returns
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-------
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str
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"""
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return self["xsrc"]
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@xsrc.setter
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def xsrc(self, val):
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self["xsrc"] = val
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# y
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# -
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@property
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def y(self):
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"""
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Sets the y components of the starting position of the
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streamtubes
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The 'y' property is an array that may be specified as a tuple,
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list, numpy array, or pandas Series
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Returns
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-------
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numpy.ndarray
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"""
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return self["y"]
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@y.setter
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def y(self, val):
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self["y"] = val
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# ysrc
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# ----
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@property
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def ysrc(self):
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"""
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Sets the source reference on Chart Studio Cloud for `y`.
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The 'ysrc' property must be specified as a string or
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as a plotly.grid_objs.Column object
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Returns
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-------
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str
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"""
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return self["ysrc"]
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@ysrc.setter
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def ysrc(self, val):
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self["ysrc"] = val
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# z
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# -
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@property
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def z(self):
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"""
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Sets the z components of the starting position of the
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streamtubes
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The 'z' property is an array that may be specified as a tuple,
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list, numpy array, or pandas Series
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Returns
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-------
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numpy.ndarray
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"""
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return self["z"]
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@z.setter
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def z(self, val):
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self["z"] = val
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# zsrc
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# ----
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@property
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def zsrc(self):
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"""
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Sets the source reference on Chart Studio Cloud for `z`.
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The 'zsrc' property must be specified as a string or
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as a plotly.grid_objs.Column object
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Returns
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-------
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str
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"""
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return self["zsrc"]
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@zsrc.setter
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def zsrc(self, val):
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self["zsrc"] = val
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# Self properties description
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# ---------------------------
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@property
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def _prop_descriptions(self):
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return """\
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x
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Sets the x components of the starting position of the
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streamtubes
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xsrc
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Sets the source reference on Chart Studio Cloud for
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`x`.
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y
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Sets the y components of the starting position of the
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streamtubes
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ysrc
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Sets the source reference on Chart Studio Cloud for
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`y`.
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z
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Sets the z components of the starting position of the
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streamtubes
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zsrc
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Sets the source reference on Chart Studio Cloud for
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`z`.
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"""
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def __init__(
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self,
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arg=None,
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x=None,
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xsrc=None,
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y=None,
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ysrc=None,
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z=None,
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zsrc=None,
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**kwargs,
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):
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"""
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Construct a new Starts object
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Parameters
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----------
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arg
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dict of properties compatible with this constructor or
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an instance of
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:class:`plotly.graph_objs.streamtube.Starts`
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x
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Sets the x components of the starting position of the
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streamtubes
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xsrc
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Sets the source reference on Chart Studio Cloud for
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`x`.
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y
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Sets the y components of the starting position of the
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streamtubes
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ysrc
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Sets the source reference on Chart Studio Cloud for
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`y`.
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z
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Sets the z components of the starting position of the
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streamtubes
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zsrc
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Sets the source reference on Chart Studio Cloud for
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`z`.
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Returns
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-------
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Starts
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"""
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super(Starts, self).__init__("starts")
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if "_parent" in kwargs:
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self._parent = kwargs["_parent"]
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return
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# Validate arg
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# ------------
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if arg is None:
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arg = {}
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elif isinstance(arg, self.__class__):
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arg = arg.to_plotly_json()
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elif isinstance(arg, dict):
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arg = _copy.copy(arg)
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else:
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raise ValueError(
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"""\
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The first argument to the plotly.graph_objs.streamtube.Starts
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constructor must be a dict or
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an instance of :class:`plotly.graph_objs.streamtube.Starts`"""
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)
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# Handle skip_invalid
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# -------------------
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self._skip_invalid = kwargs.pop("skip_invalid", False)
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self._validate = kwargs.pop("_validate", True)
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# Populate data dict with properties
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# ----------------------------------
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_v = arg.pop("x", None)
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_v = x if x is not None else _v
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if _v is not None:
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self["x"] = _v
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_v = arg.pop("xsrc", None)
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_v = xsrc if xsrc is not None else _v
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if _v is not None:
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self["xsrc"] = _v
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_v = arg.pop("y", None)
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_v = y if y is not None else _v
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if _v is not None:
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self["y"] = _v
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_v = arg.pop("ysrc", None)
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_v = ysrc if ysrc is not None else _v
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if _v is not None:
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self["ysrc"] = _v
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_v = arg.pop("z", None)
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_v = z if z is not None else _v
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if _v is not None:
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self["z"] = _v
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_v = arg.pop("zsrc", None)
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_v = zsrc if zsrc is not None else _v
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if _v is not None:
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self["zsrc"] = _v
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# Process unknown kwargs
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# ----------------------
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self._process_kwargs(**dict(arg, **kwargs))
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# Reset skip_invalid
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# ------------------
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self._skip_invalid = False
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