mirror of
https://github.com/aykhans/AzSuicideDataVisualization.git
synced 2025-07-02 06:22:25 +00:00
first commit
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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 ._z import ZValidator
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from ._y import YValidator
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from ._x import XValidator
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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__, [], ["._z.ZValidator", "._y.YValidator", "._x.XValidator"]
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)
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29
.venv/Lib/site-packages/plotly/validators/volume/caps/_x.py
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29
.venv/Lib/site-packages/plotly/validators/volume/caps/_x.py
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import _plotly_utils.basevalidators
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class XValidator(_plotly_utils.basevalidators.CompoundValidator):
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def __init__(self, plotly_name="x", parent_name="volume.caps", **kwargs):
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super(XValidator, self).__init__(
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plotly_name=plotly_name,
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parent_name=parent_name,
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data_class_str=kwargs.pop("data_class_str", "X"),
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data_docs=kwargs.pop(
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"data_docs",
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"""
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fill
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Sets the fill ratio of the `caps`. The default
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fill value of the `caps` is 1 meaning that they
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are entirely shaded. On the other hand Applying
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a `fill` ratio less than one would allow the
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creation of openings parallel to the edges.
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show
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Sets the fill ratio of the `slices`. The
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default fill value of the x `slices` is 1
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meaning that they are entirely shaded. On the
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other hand Applying a `fill` ratio less than
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one would allow the creation of openings
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parallel to the edges.
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""",
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),
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**kwargs,
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)
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29
.venv/Lib/site-packages/plotly/validators/volume/caps/_y.py
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29
.venv/Lib/site-packages/plotly/validators/volume/caps/_y.py
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import _plotly_utils.basevalidators
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class YValidator(_plotly_utils.basevalidators.CompoundValidator):
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def __init__(self, plotly_name="y", parent_name="volume.caps", **kwargs):
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super(YValidator, self).__init__(
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plotly_name=plotly_name,
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parent_name=parent_name,
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data_class_str=kwargs.pop("data_class_str", "Y"),
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data_docs=kwargs.pop(
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"data_docs",
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"""
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fill
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Sets the fill ratio of the `caps`. The default
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fill value of the `caps` is 1 meaning that they
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are entirely shaded. On the other hand Applying
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a `fill` ratio less than one would allow the
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creation of openings parallel to the edges.
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show
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Sets the fill ratio of the `slices`. The
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default fill value of the y `slices` is 1
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meaning that they are entirely shaded. On the
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other hand Applying a `fill` ratio less than
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one would allow the creation of openings
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parallel to the edges.
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""",
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),
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**kwargs,
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)
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29
.venv/Lib/site-packages/plotly/validators/volume/caps/_z.py
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29
.venv/Lib/site-packages/plotly/validators/volume/caps/_z.py
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import _plotly_utils.basevalidators
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class ZValidator(_plotly_utils.basevalidators.CompoundValidator):
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def __init__(self, plotly_name="z", parent_name="volume.caps", **kwargs):
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super(ZValidator, self).__init__(
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plotly_name=plotly_name,
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parent_name=parent_name,
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data_class_str=kwargs.pop("data_class_str", "Z"),
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data_docs=kwargs.pop(
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"data_docs",
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"""
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fill
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Sets the fill ratio of the `caps`. The default
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fill value of the `caps` is 1 meaning that they
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are entirely shaded. On the other hand Applying
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a `fill` ratio less than one would allow the
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creation of openings parallel to the edges.
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show
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Sets the fill ratio of the `slices`. The
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default fill value of the z `slices` is 1
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meaning that they are entirely shaded. On the
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other hand Applying a `fill` ratio less than
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one would allow the creation of openings
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parallel to the edges.
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""",
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),
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**kwargs,
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)
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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 ._show import ShowValidator
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from ._fill import FillValidator
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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__, [], ["._show.ShowValidator", "._fill.FillValidator"]
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)
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import _plotly_utils.basevalidators
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class FillValidator(_plotly_utils.basevalidators.NumberValidator):
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def __init__(self, plotly_name="fill", parent_name="volume.caps.x", **kwargs):
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super(FillValidator, self).__init__(
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plotly_name=plotly_name,
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parent_name=parent_name,
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edit_type=kwargs.pop("edit_type", "calc"),
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max=kwargs.pop("max", 1),
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min=kwargs.pop("min", 0),
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**kwargs,
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)
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import _plotly_utils.basevalidators
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class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
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def __init__(self, plotly_name="show", parent_name="volume.caps.x", **kwargs):
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super(ShowValidator, self).__init__(
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plotly_name=plotly_name,
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parent_name=parent_name,
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edit_type=kwargs.pop("edit_type", "calc"),
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**kwargs,
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)
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@ -0,0 +1,12 @@
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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 ._show import ShowValidator
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from ._fill import FillValidator
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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__, [], ["._show.ShowValidator", "._fill.FillValidator"]
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)
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import _plotly_utils.basevalidators
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class FillValidator(_plotly_utils.basevalidators.NumberValidator):
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def __init__(self, plotly_name="fill", parent_name="volume.caps.y", **kwargs):
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super(FillValidator, self).__init__(
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plotly_name=plotly_name,
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parent_name=parent_name,
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edit_type=kwargs.pop("edit_type", "calc"),
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max=kwargs.pop("max", 1),
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min=kwargs.pop("min", 0),
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**kwargs,
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)
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import _plotly_utils.basevalidators
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class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
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def __init__(self, plotly_name="show", parent_name="volume.caps.y", **kwargs):
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super(ShowValidator, self).__init__(
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plotly_name=plotly_name,
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parent_name=parent_name,
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edit_type=kwargs.pop("edit_type", "calc"),
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**kwargs,
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)
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@ -0,0 +1,12 @@
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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 ._show import ShowValidator
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from ._fill import FillValidator
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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__, [], ["._show.ShowValidator", "._fill.FillValidator"]
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)
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import _plotly_utils.basevalidators
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class FillValidator(_plotly_utils.basevalidators.NumberValidator):
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def __init__(self, plotly_name="fill", parent_name="volume.caps.z", **kwargs):
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super(FillValidator, self).__init__(
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plotly_name=plotly_name,
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parent_name=parent_name,
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edit_type=kwargs.pop("edit_type", "calc"),
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max=kwargs.pop("max", 1),
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min=kwargs.pop("min", 0),
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**kwargs,
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)
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import _plotly_utils.basevalidators
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class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
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def __init__(self, plotly_name="show", parent_name="volume.caps.z", **kwargs):
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super(ShowValidator, self).__init__(
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plotly_name=plotly_name,
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parent_name=parent_name,
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edit_type=kwargs.pop("edit_type", "calc"),
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**kwargs,
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)
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