mirror of
https://github.com/aykhans/AzSuicideDataVisualization.git
synced 2025-07-04 07:08:05 +00:00
first commit
This commit is contained in:
@ -0,0 +1,13 @@
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import sys
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from typing import TYPE_CHECKING
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if sys.version_info < (3, 7) or TYPE_CHECKING:
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from ._x import X
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from ._y import Y
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from ._z import Z
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else:
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from _plotly_utils.importers import relative_import
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__all__, __getattr__, __dir__ = relative_import(
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__name__, [], ["._x.X", "._y.Y", "._z.Z"]
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)
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from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
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import copy as _copy
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class X(_BaseTraceHierarchyType):
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# class properties
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# --------------------
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_parent_path_str = "scatter3d.projection"
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_path_str = "scatter3d.projection.x"
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_valid_props = {"opacity", "scale", "show"}
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# opacity
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# -------
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@property
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def opacity(self):
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"""
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Sets the projection color.
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The 'opacity' property is a number and may be specified as:
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- An int or float in the interval [0, 1]
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Returns
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-------
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int|float
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"""
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return self["opacity"]
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@opacity.setter
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def opacity(self, val):
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self["opacity"] = val
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# scale
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# -----
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@property
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def scale(self):
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"""
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Sets the scale factor determining the size of the projection
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marker points.
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The 'scale' property is a number and may be specified as:
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- An int or float in the interval [0, 10]
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Returns
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-------
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int|float
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"""
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return self["scale"]
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@scale.setter
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def scale(self, val):
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self["scale"] = val
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# show
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# ----
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@property
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def show(self):
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"""
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Sets whether or not projections are shown along the x axis.
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The 'show' property must be specified as a bool
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(either True, or False)
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Returns
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-------
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bool
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"""
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return self["show"]
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@show.setter
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def show(self, val):
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self["show"] = 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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opacity
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Sets the projection color.
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scale
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Sets the scale factor determining the size of the
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projection marker points.
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show
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Sets whether or not projections are shown along the x
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axis.
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"""
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def __init__(self, arg=None, opacity=None, scale=None, show=None, **kwargs):
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"""
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Construct a new X 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.scatter3d.projection.X`
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opacity
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Sets the projection color.
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scale
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Sets the scale factor determining the size of the
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projection marker points.
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show
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Sets whether or not projections are shown along the x
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axis.
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Returns
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-------
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X
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"""
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super(X, self).__init__("x")
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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.scatter3d.projection.X
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constructor must be a dict or
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an instance of :class:`plotly.graph_objs.scatter3d.projection.X`"""
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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("opacity", None)
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_v = opacity if opacity is not None else _v
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if _v is not None:
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self["opacity"] = _v
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_v = arg.pop("scale", None)
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_v = scale if scale is not None else _v
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if _v is not None:
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self["scale"] = _v
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_v = arg.pop("show", None)
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_v = show if show is not None else _v
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if _v is not None:
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self["show"] = _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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@ -0,0 +1,160 @@
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from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
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import copy as _copy
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class Y(_BaseTraceHierarchyType):
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# class properties
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# --------------------
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_parent_path_str = "scatter3d.projection"
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_path_str = "scatter3d.projection.y"
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_valid_props = {"opacity", "scale", "show"}
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# opacity
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# -------
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@property
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def opacity(self):
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"""
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Sets the projection color.
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The 'opacity' property is a number and may be specified as:
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- An int or float in the interval [0, 1]
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Returns
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-------
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int|float
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"""
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return self["opacity"]
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@opacity.setter
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def opacity(self, val):
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self["opacity"] = val
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# scale
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# -----
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@property
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def scale(self):
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"""
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Sets the scale factor determining the size of the projection
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marker points.
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The 'scale' property is a number and may be specified as:
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- An int or float in the interval [0, 10]
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Returns
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-------
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int|float
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"""
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return self["scale"]
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@scale.setter
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def scale(self, val):
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self["scale"] = val
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# show
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# ----
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@property
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def show(self):
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"""
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Sets whether or not projections are shown along the y axis.
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The 'show' property must be specified as a bool
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(either True, or False)
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Returns
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-------
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bool
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"""
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return self["show"]
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@show.setter
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def show(self, val):
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self["show"] = 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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opacity
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Sets the projection color.
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scale
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Sets the scale factor determining the size of the
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projection marker points.
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show
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Sets whether or not projections are shown along the y
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axis.
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"""
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def __init__(self, arg=None, opacity=None, scale=None, show=None, **kwargs):
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"""
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Construct a new Y 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.scatter3d.projection.Y`
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opacity
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Sets the projection color.
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scale
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Sets the scale factor determining the size of the
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projection marker points.
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show
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Sets whether or not projections are shown along the y
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axis.
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Returns
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-------
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Y
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"""
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super(Y, self).__init__("y")
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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.scatter3d.projection.Y
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constructor must be a dict or
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an instance of :class:`plotly.graph_objs.scatter3d.projection.Y`"""
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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("opacity", None)
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_v = opacity if opacity is not None else _v
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if _v is not None:
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self["opacity"] = _v
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_v = arg.pop("scale", None)
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_v = scale if scale is not None else _v
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if _v is not None:
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self["scale"] = _v
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_v = arg.pop("show", None)
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_v = show if show is not None else _v
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if _v is not None:
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self["show"] = _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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@ -0,0 +1,160 @@
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from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
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import copy as _copy
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class Z(_BaseTraceHierarchyType):
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# class properties
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# --------------------
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_parent_path_str = "scatter3d.projection"
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_path_str = "scatter3d.projection.z"
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_valid_props = {"opacity", "scale", "show"}
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# opacity
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# -------
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@property
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def opacity(self):
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"""
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Sets the projection color.
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The 'opacity' property is a number and may be specified as:
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- An int or float in the interval [0, 1]
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Returns
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-------
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int|float
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"""
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return self["opacity"]
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@opacity.setter
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def opacity(self, val):
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self["opacity"] = val
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# scale
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# -----
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@property
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def scale(self):
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"""
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Sets the scale factor determining the size of the projection
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marker points.
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The 'scale' property is a number and may be specified as:
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- An int or float in the interval [0, 10]
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Returns
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-------
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int|float
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"""
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return self["scale"]
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@scale.setter
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def scale(self, val):
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self["scale"] = val
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# show
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# ----
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@property
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def show(self):
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"""
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Sets whether or not projections are shown along the z axis.
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The 'show' property must be specified as a bool
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(either True, or False)
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Returns
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-------
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bool
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"""
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return self["show"]
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@show.setter
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def show(self, val):
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self["show"] = 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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opacity
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Sets the projection color.
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scale
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Sets the scale factor determining the size of the
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projection marker points.
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show
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Sets whether or not projections are shown along the z
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axis.
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"""
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def __init__(self, arg=None, opacity=None, scale=None, show=None, **kwargs):
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"""
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Construct a new Z 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.scatter3d.projection.Z`
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opacity
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Sets the projection color.
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scale
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Sets the scale factor determining the size of the
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projection marker points.
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show
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Sets whether or not projections are shown along the z
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axis.
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Returns
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-------
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Z
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"""
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super(Z, self).__init__("z")
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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.scatter3d.projection.Z
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constructor must be a dict or
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an instance of :class:`plotly.graph_objs.scatter3d.projection.Z`"""
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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("opacity", None)
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_v = opacity if opacity is not None else _v
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if _v is not None:
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self["opacity"] = _v
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_v = arg.pop("scale", None)
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_v = scale if scale is not None else _v
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if _v is not None:
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self["scale"] = _v
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_v = arg.pop("show", None)
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_v = show if show is not None else _v
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if _v is not None:
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self["show"] = _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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|
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# Reset skip_invalid
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# ------------------
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self._skip_invalid = False
|
Reference in New Issue
Block a user