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Ayxan
2022-05-23 00:16:32 +04:00
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import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._zsrc import ZsrcValidator
from ._zmin import ZminValidator
from ._zmid import ZmidValidator
from ._zmax import ZmaxValidator
from ._zauto import ZautoValidator
from ._z import ZValidator
from ._yaxis import YaxisValidator
from ._xaxis import XaxisValidator
from ._visible import VisibleValidator
from ._uirevision import UirevisionValidator
from ._uid import UidValidator
from ._transpose import TransposeValidator
from ._textsrc import TextsrcValidator
from ._text import TextValidator
from ._stream import StreamValidator
from ._showscale import ShowscaleValidator
from ._showlegend import ShowlegendValidator
from ._reversescale import ReversescaleValidator
from ._opacity import OpacityValidator
from ._ncontours import NcontoursValidator
from ._name import NameValidator
from ._metasrc import MetasrcValidator
from ._meta import MetaValidator
from ._line import LineValidator
from ._legendrank import LegendrankValidator
from ._legendgrouptitle import LegendgrouptitleValidator
from ._legendgroup import LegendgroupValidator
from ._idssrc import IdssrcValidator
from ._ids import IdsValidator
from ._hovertextsrc import HovertextsrcValidator
from ._hovertext import HovertextValidator
from ._fillcolor import FillcolorValidator
from ._db import DbValidator
from ._da import DaValidator
from ._customdatasrc import CustomdatasrcValidator
from ._customdata import CustomdataValidator
from ._contours import ContoursValidator
from ._colorscale import ColorscaleValidator
from ._colorbar import ColorbarValidator
from ._coloraxis import ColoraxisValidator
from ._carpet import CarpetValidator
from ._btype import BtypeValidator
from ._bsrc import BsrcValidator
from ._b0 import B0Validator
from ._b import BValidator
from ._autocontour import AutocontourValidator
from ._autocolorscale import AutocolorscaleValidator
from ._atype import AtypeValidator
from ._asrc import AsrcValidator
from ._a0 import A0Validator
from ._a import AValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__,
[],
[
"._zsrc.ZsrcValidator",
"._zmin.ZminValidator",
"._zmid.ZmidValidator",
"._zmax.ZmaxValidator",
"._zauto.ZautoValidator",
"._z.ZValidator",
"._yaxis.YaxisValidator",
"._xaxis.XaxisValidator",
"._visible.VisibleValidator",
"._uirevision.UirevisionValidator",
"._uid.UidValidator",
"._transpose.TransposeValidator",
"._textsrc.TextsrcValidator",
"._text.TextValidator",
"._stream.StreamValidator",
"._showscale.ShowscaleValidator",
"._showlegend.ShowlegendValidator",
"._reversescale.ReversescaleValidator",
"._opacity.OpacityValidator",
"._ncontours.NcontoursValidator",
"._name.NameValidator",
"._metasrc.MetasrcValidator",
"._meta.MetaValidator",
"._line.LineValidator",
"._legendrank.LegendrankValidator",
"._legendgrouptitle.LegendgrouptitleValidator",
"._legendgroup.LegendgroupValidator",
"._idssrc.IdssrcValidator",
"._ids.IdsValidator",
"._hovertextsrc.HovertextsrcValidator",
"._hovertext.HovertextValidator",
"._fillcolor.FillcolorValidator",
"._db.DbValidator",
"._da.DaValidator",
"._customdatasrc.CustomdatasrcValidator",
"._customdata.CustomdataValidator",
"._contours.ContoursValidator",
"._colorscale.ColorscaleValidator",
"._colorbar.ColorbarValidator",
"._coloraxis.ColoraxisValidator",
"._carpet.CarpetValidator",
"._btype.BtypeValidator",
"._bsrc.BsrcValidator",
"._b0.B0Validator",
"._b.BValidator",
"._autocontour.AutocontourValidator",
"._autocolorscale.AutocolorscaleValidator",
"._atype.AtypeValidator",
"._asrc.AsrcValidator",
"._a0.A0Validator",
"._a.AValidator",
],
)

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import _plotly_utils.basevalidators
class AValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(self, plotly_name="a", parent_name="contourcarpet", **kwargs):
super(AValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
implied_edits=kwargs.pop("implied_edits", {"xtype": "array"}),
**kwargs,
)

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import _plotly_utils.basevalidators
class A0Validator(_plotly_utils.basevalidators.AnyValidator):
def __init__(self, plotly_name="a0", parent_name="contourcarpet", **kwargs):
super(A0Validator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
implied_edits=kwargs.pop("implied_edits", {"xtype": "scaled"}),
**kwargs,
)

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import _plotly_utils.basevalidators
class AsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(self, plotly_name="asrc", parent_name="contourcarpet", **kwargs):
super(AsrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

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import _plotly_utils.basevalidators
class AtypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="atype", parent_name="contourcarpet", **kwargs):
super(AtypeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
values=kwargs.pop("values", ["array", "scaled"]),
**kwargs,
)

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import _plotly_utils.basevalidators
class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self, plotly_name="autocolorscale", parent_name="contourcarpet", **kwargs
):
super(AutocolorscaleValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
implied_edits=kwargs.pop("implied_edits", {}),
**kwargs,
)

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import _plotly_utils.basevalidators
class AutocontourValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self, plotly_name="autocontour", parent_name="contourcarpet", **kwargs
):
super(AutocontourValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
implied_edits=kwargs.pop("implied_edits", {}),
**kwargs,
)

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import _plotly_utils.basevalidators
class BValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(self, plotly_name="b", parent_name="contourcarpet", **kwargs):
super(BValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
implied_edits=kwargs.pop("implied_edits", {"ytype": "array"}),
**kwargs,
)

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import _plotly_utils.basevalidators
class B0Validator(_plotly_utils.basevalidators.AnyValidator):
def __init__(self, plotly_name="b0", parent_name="contourcarpet", **kwargs):
super(B0Validator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
implied_edits=kwargs.pop("implied_edits", {"ytype": "scaled"}),
**kwargs,
)

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import _plotly_utils.basevalidators
class BsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(self, plotly_name="bsrc", parent_name="contourcarpet", **kwargs):
super(BsrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

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import _plotly_utils.basevalidators
class BtypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="btype", parent_name="contourcarpet", **kwargs):
super(BtypeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
values=kwargs.pop("values", ["array", "scaled"]),
**kwargs,
)

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import _plotly_utils.basevalidators
class CarpetValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="carpet", parent_name="contourcarpet", **kwargs):
super(CarpetValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

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import _plotly_utils.basevalidators
class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
def __init__(self, plotly_name="coloraxis", parent_name="contourcarpet", **kwargs):
super(ColoraxisValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
dflt=kwargs.pop("dflt", None),
edit_type=kwargs.pop("edit_type", "calc"),
regex=kwargs.pop("regex", "/^coloraxis([2-9]|[1-9][0-9]+)?$/"),
**kwargs,
)

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import _plotly_utils.basevalidators
class ColorbarValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="colorbar", parent_name="contourcarpet", **kwargs):
super(ColorbarValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "ColorBar"),
data_docs=kwargs.pop(
"data_docs",
"""
bgcolor
Sets the color of padded area.
bordercolor
Sets the axis line color.
borderwidth
Sets the width (in px) or the border enclosing
this color bar.
dtick
Sets the step in-between ticks on this axis.
Use with `tick0`. Must be a positive number, or
special strings available to "log" and "date"
axes. If the axis `type` is "log", then ticks
are set every 10^(n*dtick) where n is the tick
number. For example, to set a tick mark at 1,
10, 100, 1000, ... set dtick to 1. To set tick
marks at 1, 100, 10000, ... set dtick to 2. To
set tick marks at 1, 5, 25, 125, 625, 3125, ...
set dtick to log_10(5), or 0.69897000433. "log"
has several special values; "L<f>", where `f`
is a positive number, gives ticks linearly
spaced in value (but not position). For example
`tick0` = 0.1, `dtick` = "L0.5" will put ticks
at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10
plus small digits between, use "D1" (all
digits) or "D2" (only 2 and 5). `tick0` is
ignored for "D1" and "D2". If the axis `type`
is "date", then you must convert the time to
milliseconds. For example, to set the interval
between ticks to one day, set `dtick` to
86400000.0. "date" also has special values
"M<n>" gives ticks spaced by a number of
months. `n` must be a positive integer. To set
ticks on the 15th of every third month, set
`tick0` to "2000-01-15" and `dtick` to "M3". To
set ticks every 4 years, set `dtick` to "M48"
exponentformat
Determines a formatting rule for the tick
exponents. For example, consider the number
1,000,000,000. If "none", it appears as
1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
"power", 1x10^9 (with 9 in a super script). If
"SI", 1G. If "B", 1B.
len
Sets the length of the color bar This measure
excludes the padding of both ends. That is, the
color bar length is this length minus the
padding on both ends.
lenmode
Determines whether this color bar's length
(i.e. the measure in the color variation
direction) is set in units of plot "fraction"
or in *pixels. Use `len` to set the value.
minexponent
Hide SI prefix for 10^n if |n| is below this
number. This only has an effect when
`tickformat` is "SI" or "B".
nticks
Specifies the maximum number of ticks for the
particular axis. The actual number of ticks
will be chosen automatically to be less than or
equal to `nticks`. Has an effect only if
`tickmode` is set to "auto".
orientation
Sets the orientation of the colorbar.
outlinecolor
Sets the axis line color.
outlinewidth
Sets the width (in px) of the axis line.
separatethousands
If "true", even 4-digit integers are separated
showexponent
If "all", all exponents are shown besides their
significands. If "first", only the exponent of
the first tick is shown. If "last", only the
exponent of the last tick is shown. If "none",
no exponents appear.
showticklabels
Determines whether or not the tick labels are
drawn.
showtickprefix
If "all", all tick labels are displayed with a
prefix. If "first", only the first tick is
displayed with a prefix. If "last", only the
last tick is displayed with a suffix. If
"none", tick prefixes are hidden.
showticksuffix
Same as `showtickprefix` but for tick suffixes.
thickness
Sets the thickness of the color bar This
measure excludes the size of the padding, ticks
and labels.
thicknessmode
Determines whether this color bar's thickness
(i.e. the measure in the constant color
direction) is set in units of plot "fraction"
or in "pixels". Use `thickness` to set the
value.
tick0
Sets the placement of the first tick on this
axis. Use with `dtick`. If the axis `type` is
"log", then you must take the log of your
starting tick (e.g. to set the starting tick to
100, set the `tick0` to 2) except when
`dtick`=*L<f>* (see `dtick` for more info). If
the axis `type` is "date", it should be a date
string, like date data. If the axis `type` is
"category", it should be a number, using the
scale where each category is assigned a serial
number from zero in the order it appears.
tickangle
Sets the angle of the tick labels with respect
to the horizontal. For example, a `tickangle`
of -90 draws the tick labels vertically.
tickcolor
Sets the tick color.
tickfont
Sets the color bar's tick label font
tickformat
Sets the tick label formatting rule using d3
formatting mini-languages which are very
similar to those in Python. For numbers, see: h
ttps://github.com/d3/d3-format/tree/v1.4.5#d3-f
ormat. And for dates see:
https://github.com/d3/d3-time-
format/tree/v2.2.3#locale_format. We add two
items to d3's date formatter: "%h" for half of
the year as a decimal number as well as "%{n}f"
for fractional seconds with n digits. For
example, *2016-10-13 09:15:23.456* with
tickformat "%H~%M~%S.%2f" would display
"09~15~23.46"
tickformatstops
A tuple of :class:`plotly.graph_objects.contour
carpet.colorbar.Tickformatstop` instances or
dicts with compatible properties
tickformatstopdefaults
When used in a template (as layout.template.dat
a.contourcarpet.colorbar.tickformatstopdefaults
), sets the default property values to use for
elements of
contourcarpet.colorbar.tickformatstops
ticklabeloverflow
Determines how we handle tick labels that would
overflow either the graph div or the domain of
the axis. The default value for inside tick
labels is *hide past domain*. In other cases
the default is *hide past div*.
ticklabelposition
Determines where tick labels are drawn relative
to the ticks. Left and right options are used
when `orientation` is "h", top and bottom when
`orientation` is "v".
ticklabelstep
Sets the spacing between tick labels as
compared to the spacing between ticks. A value
of 1 (default) means each tick gets a label. A
value of 2 means shows every 2nd label. A
larger value n means only every nth tick is
labeled. `tick0` determines which labels are
shown. Not implemented for axes with `type`
"log" or "multicategory", or when `tickmode` is
"array".
ticklen
Sets the tick length (in px).
tickmode
Sets the tick mode for this axis. If "auto",
the number of ticks is set via `nticks`. If
"linear", the placement of the ticks is
determined by a starting position `tick0` and a
tick step `dtick` ("linear" is the default
value if `tick0` and `dtick` are provided). If
"array", the placement of the ticks is set via
`tickvals` and the tick text is `ticktext`.
("array" is the default value if `tickvals` is
provided).
tickprefix
Sets a tick label prefix.
ticks
Determines whether ticks are drawn or not. If
"", this axis' ticks are not drawn. If
"outside" ("inside"), this axis' are drawn
outside (inside) the axis lines.
ticksuffix
Sets a tick label suffix.
ticktext
Sets the text displayed at the ticks position
via `tickvals`. Only has an effect if
`tickmode` is set to "array". Used with
`tickvals`.
ticktextsrc
Sets the source reference on Chart Studio Cloud
for `ticktext`.
tickvals
Sets the values at which ticks on this axis
appear. Only has an effect if `tickmode` is set
to "array". Used with `ticktext`.
tickvalssrc
Sets the source reference on Chart Studio Cloud
for `tickvals`.
tickwidth
Sets the tick width (in px).
title
:class:`plotly.graph_objects.contourcarpet.colo
rbar.Title` instance or dict with compatible
properties
titlefont
Deprecated: Please use
contourcarpet.colorbar.title.font instead. Sets
this color bar's title font. Note that the
title's font used to be set by the now
deprecated `titlefont` attribute.
titleside
Deprecated: Please use
contourcarpet.colorbar.title.side instead.
Determines the location of color bar's title
with respect to the color bar. Defaults to
"top" when `orientation` if "v" and defaults
to "right" when `orientation` if "h". Note that
the title's location used to be set by the now
deprecated `titleside` attribute.
x
Sets the x position of the color bar (in plot
fraction). Defaults to 1.02 when `orientation`
is "v" and 0.5 when `orientation` is "h".
xanchor
Sets this color bar's horizontal position
anchor. This anchor binds the `x` position to
the "left", "center" or "right" of the color
bar. Defaults to "left" when `orientation` is
"v" and "center" when `orientation` is "h".
xpad
Sets the amount of padding (in px) along the x
direction.
y
Sets the y position of the color bar (in plot
fraction). Defaults to 0.5 when `orientation`
is "v" and 1.02 when `orientation` is "h".
yanchor
Sets this color bar's vertical position anchor
This anchor binds the `y` position to the
"top", "middle" or "bottom" of the color bar.
Defaults to "middle" when `orientation` is "v"
and "bottom" when `orientation` is "h".
ypad
Sets the amount of padding (in px) along the y
direction.
""",
),
**kwargs,
)

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import _plotly_utils.basevalidators
class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
def __init__(self, plotly_name="colorscale", parent_name="contourcarpet", **kwargs):
super(ColorscaleValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
implied_edits=kwargs.pop("implied_edits", {"autocolorscale": False}),
**kwargs,
)

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import _plotly_utils.basevalidators
class ContoursValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="contours", parent_name="contourcarpet", **kwargs):
super(ContoursValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Contours"),
data_docs=kwargs.pop(
"data_docs",
"""
coloring
Determines the coloring method showing the
contour values. If "fill", coloring is done
evenly between each contour level If "lines",
coloring is done on the contour lines. If
"none", no coloring is applied on this trace.
end
Sets the end contour level value. Must be more
than `contours.start`
labelfont
Sets the font used for labeling the contour
levels. The default color comes from the lines,
if shown. The default family and size come from
`layout.font`.
labelformat
Sets the contour label formatting rule using d3
formatting mini-languages which are very
similar to those in Python. For numbers, see: h
ttps://github.com/d3/d3-format/tree/v1.4.5#d3-f
ormat.
operation
Sets the constraint operation. "=" keeps
regions equal to `value` "<" and "<=" keep
regions less than `value` ">" and ">=" keep
regions greater than `value` "[]", "()", "[)",
and "(]" keep regions inside `value[0]` to
`value[1]` "][", ")(", "](", ")[" keep regions
outside `value[0]` to value[1]` Open vs. closed
intervals make no difference to constraint
display, but all versions are allowed for
consistency with filter transforms.
showlabels
Determines whether to label the contour lines
with their values.
showlines
Determines whether or not the contour lines are
drawn. Has an effect only if
`contours.coloring` is set to "fill".
size
Sets the step between each contour level. Must
be positive.
start
Sets the starting contour level value. Must be
less than `contours.end`
type
If `levels`, the data is represented as a
contour plot with multiple levels displayed. If
`constraint`, the data is represented as
constraints with the invalid region shaded as
specified by the `operation` and `value`
parameters.
value
Sets the value or values of the constraint
boundary. When `operation` is set to one of the
comparison values (=,<,>=,>,<=) "value" is
expected to be a number. When `operation` is
set to one of the interval values
([],(),[),(],][,)(,](,)[) "value" is expected
to be an array of two numbers where the first
is the lower bound and the second is the upper
bound.
""",
),
**kwargs,
)

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import _plotly_utils.basevalidators
class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(self, plotly_name="customdata", parent_name="contourcarpet", **kwargs):
super(CustomdataValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

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import _plotly_utils.basevalidators
class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="customdatasrc", parent_name="contourcarpet", **kwargs
):
super(CustomdatasrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

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import _plotly_utils.basevalidators
class DaValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="da", parent_name="contourcarpet", **kwargs):
super(DaValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
implied_edits=kwargs.pop("implied_edits", {"xtype": "scaled"}),
**kwargs,
)

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import _plotly_utils.basevalidators
class DbValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="db", parent_name="contourcarpet", **kwargs):
super(DbValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
implied_edits=kwargs.pop("implied_edits", {"ytype": "scaled"}),
**kwargs,
)

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import _plotly_utils.basevalidators
class FillcolorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(self, plotly_name="fillcolor", parent_name="contourcarpet", **kwargs):
super(FillcolorValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
colorscale_path=kwargs.pop("colorscale_path", "contourcarpet.colorscale"),
**kwargs,
)

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import _plotly_utils.basevalidators
class HovertextValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(self, plotly_name="hovertext", parent_name="contourcarpet", **kwargs):
super(HovertextValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

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import _plotly_utils.basevalidators
class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="hovertextsrc", parent_name="contourcarpet", **kwargs
):
super(HovertextsrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

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import _plotly_utils.basevalidators
class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(self, plotly_name="ids", parent_name="contourcarpet", **kwargs):
super(IdsValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

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import _plotly_utils.basevalidators
class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(self, plotly_name="idssrc", parent_name="contourcarpet", **kwargs):
super(IdssrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

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import _plotly_utils.basevalidators
class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self, plotly_name="legendgroup", parent_name="contourcarpet", **kwargs
):
super(LegendgroupValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "style"),
**kwargs,
)

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import _plotly_utils.basevalidators
class LegendgrouptitleValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self, plotly_name="legendgrouptitle", parent_name="contourcarpet", **kwargs
):
super(LegendgrouptitleValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Legendgrouptitle"),
data_docs=kwargs.pop(
"data_docs",
"""
font
Sets this legend group's title font.
text
Sets the title of the legend group.
""",
),
**kwargs,
)

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import _plotly_utils.basevalidators
class LegendrankValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="legendrank", parent_name="contourcarpet", **kwargs):
super(LegendrankValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "style"),
**kwargs,
)

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import _plotly_utils.basevalidators
class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="line", parent_name="contourcarpet", **kwargs):
super(LineValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Line"),
data_docs=kwargs.pop(
"data_docs",
"""
color
Sets the color of the contour level. Has no
effect if `contours.coloring` is set to
"lines".
dash
Sets the dash style of lines. Set to a dash
type string ("solid", "dot", "dash",
"longdash", "dashdot", or "longdashdot") or a
dash length list in px (eg "5px,10px,2px,2px").
smoothing
Sets the amount of smoothing for the contour
lines, where 0 corresponds to no smoothing.
width
Sets the contour line width in (in px) Defaults
to 0.5 when `contours.type` is "levels".
Defaults to 2 when `contour.type` is
"constraint".
""",
),
**kwargs,
)

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import _plotly_utils.basevalidators
class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
def __init__(self, plotly_name="meta", parent_name="contourcarpet", **kwargs):
super(MetaValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
array_ok=kwargs.pop("array_ok", True),
edit_type=kwargs.pop("edit_type", "plot"),
**kwargs,
)

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import _plotly_utils.basevalidators
class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(self, plotly_name="metasrc", parent_name="contourcarpet", **kwargs):
super(MetasrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

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import _plotly_utils.basevalidators
class NameValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="name", parent_name="contourcarpet", **kwargs):
super(NameValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "style"),
**kwargs,
)

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import _plotly_utils.basevalidators
class NcontoursValidator(_plotly_utils.basevalidators.IntegerValidator):
def __init__(self, plotly_name="ncontours", parent_name="contourcarpet", **kwargs):
super(NcontoursValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
min=kwargs.pop("min", 1),
**kwargs,
)

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import _plotly_utils.basevalidators
class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="opacity", parent_name="contourcarpet", **kwargs):
super(OpacityValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "style"),
max=kwargs.pop("max", 1),
min=kwargs.pop("min", 0),
**kwargs,
)

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import _plotly_utils.basevalidators
class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self, plotly_name="reversescale", parent_name="contourcarpet", **kwargs
):
super(ReversescaleValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
**kwargs,
)

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import _plotly_utils.basevalidators
class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(self, plotly_name="showlegend", parent_name="contourcarpet", **kwargs):
super(ShowlegendValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "style"),
**kwargs,
)

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import _plotly_utils.basevalidators
class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(self, plotly_name="showscale", parent_name="contourcarpet", **kwargs):
super(ShowscaleValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

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import _plotly_utils.basevalidators
class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="stream", parent_name="contourcarpet", **kwargs):
super(StreamValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Stream"),
data_docs=kwargs.pop(
"data_docs",
"""
maxpoints
Sets the maximum number of points to keep on
the plots from an incoming stream. If
`maxpoints` is set to 50, only the newest 50
points will be displayed on the plot.
token
The stream id number links a data trace on a
plot with a stream. See https://chart-
studio.plotly.com/settings for more details.
""",
),
**kwargs,
)

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import _plotly_utils.basevalidators
class TextValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(self, plotly_name="text", parent_name="contourcarpet", **kwargs):
super(TextValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

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import _plotly_utils.basevalidators
class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(self, plotly_name="textsrc", parent_name="contourcarpet", **kwargs):
super(TextsrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

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import _plotly_utils.basevalidators
class TransposeValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(self, plotly_name="transpose", parent_name="contourcarpet", **kwargs):
super(TransposeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

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import _plotly_utils.basevalidators
class UidValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="uid", parent_name="contourcarpet", **kwargs):
super(UidValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
**kwargs,
)

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import _plotly_utils.basevalidators
class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
def __init__(self, plotly_name="uirevision", parent_name="contourcarpet", **kwargs):
super(UirevisionValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

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import _plotly_utils.basevalidators
class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="visible", parent_name="contourcarpet", **kwargs):
super(VisibleValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
values=kwargs.pop("values", [True, False, "legendonly"]),
**kwargs,
)

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import _plotly_utils.basevalidators
class XaxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
def __init__(self, plotly_name="xaxis", parent_name="contourcarpet", **kwargs):
super(XaxisValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
dflt=kwargs.pop("dflt", "x"),
edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
**kwargs,
)

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import _plotly_utils.basevalidators
class YaxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
def __init__(self, plotly_name="yaxis", parent_name="contourcarpet", **kwargs):
super(YaxisValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
dflt=kwargs.pop("dflt", "y"),
edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
**kwargs,
)

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import _plotly_utils.basevalidators
class ZValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(self, plotly_name="z", parent_name="contourcarpet", **kwargs):
super(ZValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
**kwargs,
)

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import _plotly_utils.basevalidators
class ZautoValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(self, plotly_name="zauto", parent_name="contourcarpet", **kwargs):
super(ZautoValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
implied_edits=kwargs.pop("implied_edits", {}),
**kwargs,
)

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import _plotly_utils.basevalidators
class ZmaxValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="zmax", parent_name="contourcarpet", **kwargs):
super(ZmaxValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
implied_edits=kwargs.pop("implied_edits", {"zauto": False}),
**kwargs,
)

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import _plotly_utils.basevalidators
class ZmidValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="zmid", parent_name="contourcarpet", **kwargs):
super(ZmidValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "calc"),
implied_edits=kwargs.pop("implied_edits", {}),
**kwargs,
)

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import _plotly_utils.basevalidators
class ZminValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="zmin", parent_name="contourcarpet", **kwargs):
super(ZminValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "plot"),
implied_edits=kwargs.pop("implied_edits", {"zauto": False}),
**kwargs,
)

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import _plotly_utils.basevalidators
class ZsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(self, plotly_name="zsrc", parent_name="contourcarpet", **kwargs):
super(ZsrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

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import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._ypad import YpadValidator
from ._yanchor import YanchorValidator
from ._y import YValidator
from ._xpad import XpadValidator
from ._xanchor import XanchorValidator
from ._x import XValidator
from ._title import TitleValidator
from ._tickwidth import TickwidthValidator
from ._tickvalssrc import TickvalssrcValidator
from ._tickvals import TickvalsValidator
from ._ticktextsrc import TicktextsrcValidator
from ._ticktext import TicktextValidator
from ._ticksuffix import TicksuffixValidator
from ._ticks import TicksValidator
from ._tickprefix import TickprefixValidator
from ._tickmode import TickmodeValidator
from ._ticklen import TicklenValidator
from ._ticklabelstep import TicklabelstepValidator
from ._ticklabelposition import TicklabelpositionValidator
from ._ticklabeloverflow import TicklabeloverflowValidator
from ._tickformatstopdefaults import TickformatstopdefaultsValidator
from ._tickformatstops import TickformatstopsValidator
from ._tickformat import TickformatValidator
from ._tickfont import TickfontValidator
from ._tickcolor import TickcolorValidator
from ._tickangle import TickangleValidator
from ._tick0 import Tick0Validator
from ._thicknessmode import ThicknessmodeValidator
from ._thickness import ThicknessValidator
from ._showticksuffix import ShowticksuffixValidator
from ._showtickprefix import ShowtickprefixValidator
from ._showticklabels import ShowticklabelsValidator
from ._showexponent import ShowexponentValidator
from ._separatethousands import SeparatethousandsValidator
from ._outlinewidth import OutlinewidthValidator
from ._outlinecolor import OutlinecolorValidator
from ._orientation import OrientationValidator
from ._nticks import NticksValidator
from ._minexponent import MinexponentValidator
from ._lenmode import LenmodeValidator
from ._len import LenValidator
from ._exponentformat import ExponentformatValidator
from ._dtick import DtickValidator
from ._borderwidth import BorderwidthValidator
from ._bordercolor import BordercolorValidator
from ._bgcolor import BgcolorValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__,
[],
[
"._ypad.YpadValidator",
"._yanchor.YanchorValidator",
"._y.YValidator",
"._xpad.XpadValidator",
"._xanchor.XanchorValidator",
"._x.XValidator",
"._title.TitleValidator",
"._tickwidth.TickwidthValidator",
"._tickvalssrc.TickvalssrcValidator",
"._tickvals.TickvalsValidator",
"._ticktextsrc.TicktextsrcValidator",
"._ticktext.TicktextValidator",
"._ticksuffix.TicksuffixValidator",
"._ticks.TicksValidator",
"._tickprefix.TickprefixValidator",
"._tickmode.TickmodeValidator",
"._ticklen.TicklenValidator",
"._ticklabelstep.TicklabelstepValidator",
"._ticklabelposition.TicklabelpositionValidator",
"._ticklabeloverflow.TicklabeloverflowValidator",
"._tickformatstopdefaults.TickformatstopdefaultsValidator",
"._tickformatstops.TickformatstopsValidator",
"._tickformat.TickformatValidator",
"._tickfont.TickfontValidator",
"._tickcolor.TickcolorValidator",
"._tickangle.TickangleValidator",
"._tick0.Tick0Validator",
"._thicknessmode.ThicknessmodeValidator",
"._thickness.ThicknessValidator",
"._showticksuffix.ShowticksuffixValidator",
"._showtickprefix.ShowtickprefixValidator",
"._showticklabels.ShowticklabelsValidator",
"._showexponent.ShowexponentValidator",
"._separatethousands.SeparatethousandsValidator",
"._outlinewidth.OutlinewidthValidator",
"._outlinecolor.OutlinecolorValidator",
"._orientation.OrientationValidator",
"._nticks.NticksValidator",
"._minexponent.MinexponentValidator",
"._lenmode.LenmodeValidator",
"._len.LenValidator",
"._exponentformat.ExponentformatValidator",
"._dtick.DtickValidator",
"._borderwidth.BorderwidthValidator",
"._bordercolor.BordercolorValidator",
"._bgcolor.BgcolorValidator",
],
)

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import _plotly_utils.basevalidators
class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="bgcolor", parent_name="contourcarpet.colorbar", **kwargs
):
super(BgcolorValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "colorbars"),
**kwargs,
)

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import _plotly_utils.basevalidators
class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="bordercolor", parent_name="contourcarpet.colorbar", **kwargs
):
super(BordercolorValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "colorbars"),
**kwargs,
)

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import _plotly_utils.basevalidators
class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="borderwidth", parent_name="contourcarpet.colorbar", **kwargs
):
super(BorderwidthValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "colorbars"),
min=kwargs.pop("min", 0),
**kwargs,
)

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import _plotly_utils.basevalidators
class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
def __init__(
self, plotly_name="dtick", parent_name="contourcarpet.colorbar", **kwargs
):
super(DtickValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "colorbars"),
implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
**kwargs,
)

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import _plotly_utils.basevalidators
class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="exponentformat",
parent_name="contourcarpet.colorbar",
**kwargs,
):
super(ExponentformatValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "colorbars"),
values=kwargs.pop("values", ["none", "e", "E", "power", "SI", "B"]),
**kwargs,
)

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@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class LenValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="len", parent_name="contourcarpet.colorbar", **kwargs
):
super(LenValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "colorbars"),
min=kwargs.pop("min", 0),
**kwargs,
)

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import _plotly_utils.basevalidators
class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="lenmode", parent_name="contourcarpet.colorbar", **kwargs
):
super(LenmodeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "colorbars"),
values=kwargs.pop("values", ["fraction", "pixels"]),
**kwargs,
)

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@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class MinexponentValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="minexponent", parent_name="contourcarpet.colorbar", **kwargs
):
super(MinexponentValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "colorbars"),
min=kwargs.pop("min", 0),
**kwargs,
)

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@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
def __init__(
self, plotly_name="nticks", parent_name="contourcarpet.colorbar", **kwargs
):
super(NticksValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "colorbars"),
min=kwargs.pop("min", 0),
**kwargs,
)

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@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class OrientationValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="orientation", parent_name="contourcarpet.colorbar", **kwargs
):
super(OrientationValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "colorbars"),
values=kwargs.pop("values", ["h", "v"]),
**kwargs,
)

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@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="outlinecolor", parent_name="contourcarpet.colorbar", **kwargs
):
super(OutlinecolorValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "colorbars"),
**kwargs,
)

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import _plotly_utils.basevalidators
class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="outlinewidth", parent_name="contourcarpet.colorbar", **kwargs
):
super(OutlinewidthValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "colorbars"),
min=kwargs.pop("min", 0),
**kwargs,
)

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@ -0,0 +1,16 @@
import _plotly_utils.basevalidators
class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self,
plotly_name="separatethousands",
parent_name="contourcarpet.colorbar",
**kwargs,
):
super(SeparatethousandsValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "colorbars"),
**kwargs,
)

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import _plotly_utils.basevalidators
class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="showexponent", parent_name="contourcarpet.colorbar", **kwargs
):
super(ShowexponentValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "colorbars"),
values=kwargs.pop("values", ["all", "first", "last", "none"]),
**kwargs,
)

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@ -0,0 +1,16 @@
import _plotly_utils.basevalidators
class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self,
plotly_name="showticklabels",
parent_name="contourcarpet.colorbar",
**kwargs,
):
super(ShowticklabelsValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "colorbars"),
**kwargs,
)

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@ -0,0 +1,17 @@
import _plotly_utils.basevalidators
class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="showtickprefix",
parent_name="contourcarpet.colorbar",
**kwargs,
):
super(ShowtickprefixValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "colorbars"),
values=kwargs.pop("values", ["all", "first", "last", "none"]),
**kwargs,
)

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import _plotly_utils.basevalidators
class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="showticksuffix",
parent_name="contourcarpet.colorbar",
**kwargs,
):
super(ShowticksuffixValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "colorbars"),
values=kwargs.pop("values", ["all", "first", "last", "none"]),
**kwargs,
)

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import _plotly_utils.basevalidators
class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="thickness", parent_name="contourcarpet.colorbar", **kwargs
):
super(ThicknessValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "colorbars"),
min=kwargs.pop("min", 0),
**kwargs,
)

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import _plotly_utils.basevalidators
class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="thicknessmode",
parent_name="contourcarpet.colorbar",
**kwargs,
):
super(ThicknessmodeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "colorbars"),
values=kwargs.pop("values", ["fraction", "pixels"]),
**kwargs,
)

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import _plotly_utils.basevalidators
class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
def __init__(
self, plotly_name="tick0", parent_name="contourcarpet.colorbar", **kwargs
):
super(Tick0Validator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "colorbars"),
implied_edits=kwargs.pop("implied_edits", {"tickmode": "linear"}),
**kwargs,
)

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import _plotly_utils.basevalidators
class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
def __init__(
self, plotly_name="tickangle", parent_name="contourcarpet.colorbar", **kwargs
):
super(TickangleValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "colorbars"),
**kwargs,
)

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import _plotly_utils.basevalidators
class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="tickcolor", parent_name="contourcarpet.colorbar", **kwargs
):
super(TickcolorValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "colorbars"),
**kwargs,
)

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@ -0,0 +1,39 @@
import _plotly_utils.basevalidators
class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self, plotly_name="tickfont", parent_name="contourcarpet.colorbar", **kwargs
):
super(TickfontValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Tickfont"),
data_docs=kwargs.pop(
"data_docs",
"""
color
family
HTML font family - the typeface that will be
applied by the web browser. The web browser
will only be able to apply a font if it is
available on the system which it operates.
Provide multiple font families, separated by
commas, to indicate the preference in which to
apply fonts if they aren't available on the
system. The Chart Studio Cloud (at
https://chart-studio.plotly.com or on-premise)
generates images on a server, where only a
select number of fonts are installed and
supported. These include "Arial", "Balto",
"Courier New", "Droid Sans",, "Droid Serif",
"Droid Sans Mono", "Gravitas One", "Old
Standard TT", "Open Sans", "Overpass", "PT Sans
Narrow", "Raleway", "Times New Roman".
size
""",
),
**kwargs,
)

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import _plotly_utils.basevalidators
class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self, plotly_name="tickformat", parent_name="contourcarpet.colorbar", **kwargs
):
super(TickformatValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "colorbars"),
**kwargs,
)

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@ -0,0 +1,21 @@
import _plotly_utils.basevalidators
class TickformatstopdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self,
plotly_name="tickformatstopdefaults",
parent_name="contourcarpet.colorbar",
**kwargs,
):
super(TickformatstopdefaultsValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
data_docs=kwargs.pop(
"data_docs",
"""
""",
),
**kwargs,
)

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import _plotly_utils.basevalidators
class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
def __init__(
self,
plotly_name="tickformatstops",
parent_name="contourcarpet.colorbar",
**kwargs,
):
super(TickformatstopsValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Tickformatstop"),
data_docs=kwargs.pop(
"data_docs",
"""
dtickrange
range [*min*, *max*], where "min", "max" -
dtick values which describe some zoom level, it
is possible to omit "min" or "max" value by
passing "null"
enabled
Determines whether or not this stop is used. If
`false`, this stop is ignored even within its
`dtickrange`.
name
When used in a template, named items are
created in the output figure in addition to any
items the figure already has in this array. You
can modify these items in the output figure by
making your own item with `templateitemname`
matching this `name` alongside your
modifications (including `visible: false` or
`enabled: false` to hide it). Has no effect
outside of a template.
templateitemname
Used to refer to a named item in this array in
the template. Named items from the template
will be created even without a matching item in
the input figure, but you can modify one by
making an item with `templateitemname` matching
its `name`, alongside your modifications
(including `visible: false` or `enabled: false`
to hide it). If there is no template or no
matching item, this item will be hidden unless
you explicitly show it with `visible: true`.
value
string - dtickformat for described zoom level,
the same as "tickformat"
""",
),
**kwargs,
)

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@ -0,0 +1,17 @@
import _plotly_utils.basevalidators
class TicklabeloverflowValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="ticklabeloverflow",
parent_name="contourcarpet.colorbar",
**kwargs,
):
super(TicklabeloverflowValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "colorbars"),
values=kwargs.pop("values", ["allow", "hide past div", "hide past domain"]),
**kwargs,
)

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@ -0,0 +1,31 @@
import _plotly_utils.basevalidators
class TicklabelpositionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="ticklabelposition",
parent_name="contourcarpet.colorbar",
**kwargs,
):
super(TicklabelpositionValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "colorbars"),
values=kwargs.pop(
"values",
[
"outside",
"inside",
"outside top",
"inside top",
"outside left",
"inside left",
"outside right",
"inside right",
"outside bottom",
"inside bottom",
],
),
**kwargs,
)

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@ -0,0 +1,17 @@
import _plotly_utils.basevalidators
class TicklabelstepValidator(_plotly_utils.basevalidators.IntegerValidator):
def __init__(
self,
plotly_name="ticklabelstep",
parent_name="contourcarpet.colorbar",
**kwargs,
):
super(TicklabelstepValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "colorbars"),
min=kwargs.pop("min", 1),
**kwargs,
)

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@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="ticklen", parent_name="contourcarpet.colorbar", **kwargs
):
super(TicklenValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "colorbars"),
min=kwargs.pop("min", 0),
**kwargs,
)

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@ -0,0 +1,15 @@
import _plotly_utils.basevalidators
class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="tickmode", parent_name="contourcarpet.colorbar", **kwargs
):
super(TickmodeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "colorbars"),
implied_edits=kwargs.pop("implied_edits", {}),
values=kwargs.pop("values", ["auto", "linear", "array"]),
**kwargs,
)

View File

@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self, plotly_name="tickprefix", parent_name="contourcarpet.colorbar", **kwargs
):
super(TickprefixValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "colorbars"),
**kwargs,
)

View File

@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="ticks", parent_name="contourcarpet.colorbar", **kwargs
):
super(TicksValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "colorbars"),
values=kwargs.pop("values", ["outside", "inside", ""]),
**kwargs,
)

View File

@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self, plotly_name="ticksuffix", parent_name="contourcarpet.colorbar", **kwargs
):
super(TicksuffixValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "colorbars"),
**kwargs,
)

View File

@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(
self, plotly_name="ticktext", parent_name="contourcarpet.colorbar", **kwargs
):
super(TicktextValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "colorbars"),
**kwargs,
)

View File

@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="ticktextsrc", parent_name="contourcarpet.colorbar", **kwargs
):
super(TicktextsrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

View File

@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(
self, plotly_name="tickvals", parent_name="contourcarpet.colorbar", **kwargs
):
super(TickvalsValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "colorbars"),
**kwargs,
)

View File

@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="tickvalssrc", parent_name="contourcarpet.colorbar", **kwargs
):
super(TickvalssrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "none"),
**kwargs,
)

View File

@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="tickwidth", parent_name="contourcarpet.colorbar", **kwargs
):
super(TickwidthValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "colorbars"),
min=kwargs.pop("min", 0),
**kwargs,
)

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@ -0,0 +1,35 @@
import _plotly_utils.basevalidators
class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
def __init__(
self, plotly_name="title", parent_name="contourcarpet.colorbar", **kwargs
):
super(TitleValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Title"),
data_docs=kwargs.pop(
"data_docs",
"""
font
Sets this color bar's title font. Note that the
title's font used to be set by the now
deprecated `titlefont` attribute.
side
Determines the location of color bar's title
with respect to the color bar. Defaults to
"top" when `orientation` if "v" and defaults
to "right" when `orientation` if "h". Note that
the title's location used to be set by the now
deprecated `titleside` attribute.
text
Sets the title of the color bar. Note that
before the existence of `title.text`, the
title's contents used to be defined as the
`title` attribute itself. This behavior has
been deprecated.
""",
),
**kwargs,
)

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@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class XValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="x", parent_name="contourcarpet.colorbar", **kwargs):
super(XValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "colorbars"),
max=kwargs.pop("max", 3),
min=kwargs.pop("min", -2),
**kwargs,
)

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@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="xanchor", parent_name="contourcarpet.colorbar", **kwargs
):
super(XanchorValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "colorbars"),
values=kwargs.pop("values", ["left", "center", "right"]),
**kwargs,
)

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@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="xpad", parent_name="contourcarpet.colorbar", **kwargs
):
super(XpadValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "colorbars"),
min=kwargs.pop("min", 0),
**kwargs,
)

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@ -0,0 +1,13 @@
import _plotly_utils.basevalidators
class YValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="y", parent_name="contourcarpet.colorbar", **kwargs):
super(YValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "colorbars"),
max=kwargs.pop("max", 3),
min=kwargs.pop("min", -2),
**kwargs,
)

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@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="yanchor", parent_name="contourcarpet.colorbar", **kwargs
):
super(YanchorValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "colorbars"),
values=kwargs.pop("values", ["top", "middle", "bottom"]),
**kwargs,
)

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@ -0,0 +1,14 @@
import _plotly_utils.basevalidators
class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="ypad", parent_name="contourcarpet.colorbar", **kwargs
):
super(YpadValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "colorbars"),
min=kwargs.pop("min", 0),
**kwargs,
)

View File

@ -0,0 +1,15 @@
import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._size import SizeValidator
from ._family import FamilyValidator
from ._color import ColorValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__,
[],
["._size.SizeValidator", "._family.FamilyValidator", "._color.ColorValidator"],
)

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