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731k
| package
stringlengths 2
98
⌀ | name
stringlengths 1
76
| docstring
stringlengths 0
281k
⌀ | code
stringlengths 4
8.19k
| signature
stringlengths 2
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⌀ | embed_func_code
listlengths 768
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|---|---|---|---|---|---|---|
33,823 | ipywidgets.widgets.widget_layout | _get_border |
`border` property getter. Return the common value of all side
borders if they are identical. Otherwise return None.
| def _get_border(self):
"""
`border` property getter. Return the common value of all side
borders if they are identical. Otherwise return None.
"""
found = None
for side in ['top', 'right', 'bottom', 'left']:
if not hasattr(self, "border_" + side):
return
old, found = found, getattr(self, "border_" + side)
if found is None or (old is not None and found != old):
return
return found
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|
33,837 | ipywidgets.widgets.widget_layout | _set_border |
`border` property setter. Set all 4 sides to `border` string.
| def _set_border(self, border):
"""
`border` property setter. Set all 4 sides to `border` string.
"""
for side in ['top', 'right', 'bottom', 'left']:
setattr(self, "border_" + side, border)
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|
33,869 | bqplot.scales | LinearScale | A linear scale.
An affine mapping from a numerical domain to a numerical range.
Attributes
----------
min: float or None (default: None)
if not None, min is the minimal value of the domain
max: float or None (default: None)
if not None, max is the maximal value of the domain
rtype: string (class-level attribute)
This attribute should not be modified. The range type of a linear
scale is numerical.
dtype: type (class-level attribute)
the associated data type / domain type
precedence: int (class-level attribute, default_value=2)
attribute used to determine which scale takes precedence in cases when
two or more scales have the same rtype and dtype.
default_value is 2 because for the same range and domain types,
LinearScale should take precedence.
stabilized: bool (default: False)
if set to False, the domain of the scale is tied to the data range
if set to True, the domain of the scale is updated only when
the data range is beyond certain thresholds, given by the attributes
mid_range and min_range.
mid_range: float (default: 0.8)
Proportion of the range that is spanned initially.
Used only if stabilized is True.
min_range: float (default: 0.6)
Minimum proportion of the range that should be spanned by the data.
If the data span falls beneath that level, the scale is reset.
min_range must be <= mid_range.
Used only if stabilized is True.
| class LinearScale(Scale):
"""A linear scale.
An affine mapping from a numerical domain to a numerical range.
Attributes
----------
min: float or None (default: None)
if not None, min is the minimal value of the domain
max: float or None (default: None)
if not None, max is the maximal value of the domain
rtype: string (class-level attribute)
This attribute should not be modified. The range type of a linear
scale is numerical.
dtype: type (class-level attribute)
the associated data type / domain type
precedence: int (class-level attribute, default_value=2)
attribute used to determine which scale takes precedence in cases when
two or more scales have the same rtype and dtype.
default_value is 2 because for the same range and domain types,
LinearScale should take precedence.
stabilized: bool (default: False)
if set to False, the domain of the scale is tied to the data range
if set to True, the domain of the scale is updated only when
the data range is beyond certain thresholds, given by the attributes
mid_range and min_range.
mid_range: float (default: 0.8)
Proportion of the range that is spanned initially.
Used only if stabilized is True.
min_range: float (default: 0.6)
Minimum proportion of the range that should be spanned by the data.
If the data span falls beneath that level, the scale is reset.
min_range must be <= mid_range.
Used only if stabilized is True.
"""
rtype = 'Number'
dtype = np.number
precedence = 2
min = Float(None, allow_none=True).tag(sync=True)
max = Float(None, allow_none=True).tag(sync=True)
stabilized = Bool(False).tag(sync=True)
min_range = Float(0.6, min=0.0, max=1.0).tag(sync=True)
mid_range = Float(0.8, min=0.1, max=1.0).tag(sync=True)
_view_name = Unicode('LinearScale').tag(sync=True)
_model_name = Unicode('LinearScaleModel').tag(sync=True)
| (*args: 't.Any', **kwargs: 't.Any') -> 't.Any' | [
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|
33,926 | bqplot.marks | Lines | Lines mark.
In the case of the Lines mark, scales for 'x' and 'y' MUST be provided.
Attributes
----------
icon: string (class-level attribute)
Font-awesome icon for the respective mark
name: string (class-level attribute)
User-friendly name of the mark
colors: list of colors (default: CATEGORY10)
List of colors of the Lines. If the list is shorter than the number
of lines, the colors are reused.
close_path: bool (default: False)
Whether to close the paths or not.
fill: {'none', 'bottom', 'top', 'inside', 'between'}
Fill in the area defined by the curves
fill_colors: list of colors (default: [])
Fill colors for the areas. Defaults to stroke-colors when no
color provided
opacities: list of floats (default: [])
Opacity for the lines and patches. Defaults to 1 when the list is too
short, or the element of the list is set to None.
fill_opacities: list of floats (default: [])
Opacity for the areas. Defaults to 1 when the list is too
short, or the element of the list is set to None.
stroke_width: float (default: 2)
Stroke width of the Lines
labels_visibility: {'none', 'label'}
Visibility of the curve labels
curves_subset: list of integers or None (default: [])
If set to None, all the lines are displayed. Otherwise, only the items
in the list will have full opacity, while others will be faded.
line_style: {'solid', 'dashed', 'dotted', 'dash_dotted'}
Line style.
interpolation: {'linear', 'basis', 'basis-open', 'basis-closed', 'bundle', 'cardinal', 'cardinal-open',
'cardinal-closed', 'monotone', 'step-before', 'step-after'}
Interpolation scheme used for interpolation between the data points
provided. Please refer to the svg interpolate documentation for details
about the different interpolation schemes.
marker: {'circle', 'cross', 'diamond', 'square', 'triangle-down', 'triangle-up', 'arrow', 'rectangle', 'ellipse', 'plus', 'crosshair', 'point'}
Marker shape
marker_size: nonnegative int (default: 64)
Default marker size in pixels
Data Attributes
x: numpy.ndarray (default: [])
abscissas of the data points (1d or 2d array)
y: numpy.ndarray (default: [])
ordinates of the data points (1d or 2d array)
color: numpy.ndarray (default: None)
colors of the different lines based on data. If it is [], then the
colors from the colors attribute are used. Each line has a single color
and if the size of colors is less than the number of lines, the
remaining lines are given the default colors.
Notes
-----
The fields which can be passed to the default tooltip are:
name: label of the line
index: index of the line being hovered on
color: data attribute for the color of the line
The following are the events which can trigger interactions:
click: left click of the mouse
hover: mouse-over an element
The following are the interactions which can be linked to the above events:
tooltip: display tooltip
| class Lines(Mark):
"""Lines mark.
In the case of the Lines mark, scales for 'x' and 'y' MUST be provided.
Attributes
----------
icon: string (class-level attribute)
Font-awesome icon for the respective mark
name: string (class-level attribute)
User-friendly name of the mark
colors: list of colors (default: CATEGORY10)
List of colors of the Lines. If the list is shorter than the number
of lines, the colors are reused.
close_path: bool (default: False)
Whether to close the paths or not.
fill: {'none', 'bottom', 'top', 'inside', 'between'}
Fill in the area defined by the curves
fill_colors: list of colors (default: [])
Fill colors for the areas. Defaults to stroke-colors when no
color provided
opacities: list of floats (default: [])
Opacity for the lines and patches. Defaults to 1 when the list is too
short, or the element of the list is set to None.
fill_opacities: list of floats (default: [])
Opacity for the areas. Defaults to 1 when the list is too
short, or the element of the list is set to None.
stroke_width: float (default: 2)
Stroke width of the Lines
labels_visibility: {'none', 'label'}
Visibility of the curve labels
curves_subset: list of integers or None (default: [])
If set to None, all the lines are displayed. Otherwise, only the items
in the list will have full opacity, while others will be faded.
line_style: {'solid', 'dashed', 'dotted', 'dash_dotted'}
Line style.
interpolation: {'linear', 'basis', 'basis-open', 'basis-closed', 'bundle', 'cardinal', 'cardinal-open',
'cardinal-closed', 'monotone', 'step-before', 'step-after'}
Interpolation scheme used for interpolation between the data points
provided. Please refer to the svg interpolate documentation for details
about the different interpolation schemes.
marker: {'circle', 'cross', 'diamond', 'square', 'triangle-down', 'triangle-up', 'arrow', 'rectangle', 'ellipse', 'plus', 'crosshair', 'point'}
Marker shape
marker_size: nonnegative int (default: 64)
Default marker size in pixels
Data Attributes
x: numpy.ndarray (default: [])
abscissas of the data points (1d or 2d array)
y: numpy.ndarray (default: [])
ordinates of the data points (1d or 2d array)
color: numpy.ndarray (default: None)
colors of the different lines based on data. If it is [], then the
colors from the colors attribute are used. Each line has a single color
and if the size of colors is less than the number of lines, the
remaining lines are given the default colors.
Notes
-----
The fields which can be passed to the default tooltip are:
name: label of the line
index: index of the line being hovered on
color: data attribute for the color of the line
The following are the events which can trigger interactions:
click: left click of the mouse
hover: mouse-over an element
The following are the interactions which can be linked to the above events:
tooltip: display tooltip
"""
# Mark decoration
icon = 'fa-line-chart'
name = 'Lines'
# Scaled attributes
x = Array([]).tag(sync=True, scaled=True,
rtype='Number', atype='bqplot.Axis',
**array_serialization)\
.valid(array_squeeze, array_dimension_bounds(1, 2), array_supported_kinds())
y = Array([]).tag(sync=True, scaled=True,
rtype='Number', atype='bqplot.Axis',
**array_serialization)\
.valid(array_squeeze, array_dimension_bounds(1, 2), array_supported_kinds())
color = Array(None, allow_none=True).tag(sync=True,
scaled=True,
rtype='Color',
atype='bqplot.ColorAxis',
**array_serialization)\
.valid(array_squeeze, array_dimension_bounds(1, 1))
# Other attributes
scales_metadata = Dict({
'x': {'orientation': 'horizontal', 'dimension': 'x'},
'y': {'orientation': 'vertical', 'dimension': 'y'},
'color': {'dimension': 'color'}
}).tag(sync=True)
colors = List(trait=Color(default_value=None, allow_none=True),
default_value=CATEGORY10)\
.tag(sync=True, display_name='Colors')
fill_colors = List(trait=Color(default_value=None, allow_none=True))\
.tag(sync=True, display_name='Fill colors')
stroke_width = Float(2.0).tag(sync=True, display_name='Stroke width')
labels_visibility = Enum(['none', 'label'], default_value='none')\
.tag(sync=True, display_name='Labels visibility')
curves_subset = List().tag(sync=True)
line_style = Enum(['solid', 'dashed', 'dotted', 'dash_dotted'],
default_value='solid')\
.tag(sync=True, display_name='Line style')
# TODO: Only Lines have interpolatoin but we can extend for other types of graphs
interpolation = Enum(['linear', 'basis', 'basis-open',
'basis-closed', 'bundle',
'cardinal', 'cardinal-open',
'cardinal-closed', 'monotone', 'step-before',
'step-after'],
default_value='linear')\
.tag(sync=True, display_name='Interpolation')
close_path = Bool().tag(sync=True, display_name='Close path')
fill = Enum(['none', 'bottom', 'top', 'inside', 'between'],
default_value='none')\
.tag(sync=True, display_name='Fill')
marker = Enum(['circle', 'cross', 'diamond', 'square', 'triangle-down',
'triangle-up', 'arrow', 'rectangle', 'ellipse', 'plus',
'crosshair', 'point'],
default_value=None, allow_none=True)\
.tag(sync=True, display_name='Marker')
marker_size = Int(64).tag(sync=True, display_name='Default size')
opacities = List().tag(sync=True, display_name='Opacity')
fill_opacities = List().tag(sync=True, display_name='Fill Opacity')
_view_name = Unicode('Lines').tag(sync=True)
_model_name = Unicode('LinesModel').tag(sync=True)
| (*args: 't.Any', **kwargs: 't.Any') -> 't.Any' | [
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|
34,021 | bqplot.scales | LogScale | A log scale.
A logarithmic mapping from a numerical domain to a numerical range.
Attributes
----------
min: float or None (default: None)
if not None, min is the minimal value of the domain
max: float or None (default: None)
if not None, max is the maximal value of the domain
rtype: string (class-level attribute)
This attribute should not be modified by the user.
The range type of a linear scale is numerical.
dtype: type (class-level attribute)
the associated data type / domain type
| class LogScale(Scale):
"""A log scale.
A logarithmic mapping from a numerical domain to a numerical range.
Attributes
----------
min: float or None (default: None)
if not None, min is the minimal value of the domain
max: float or None (default: None)
if not None, max is the maximal value of the domain
rtype: string (class-level attribute)
This attribute should not be modified by the user.
The range type of a linear scale is numerical.
dtype: type (class-level attribute)
the associated data type / domain type
"""
rtype = 'Number'
dtype = np.number
min = Float(None, allow_none=True).tag(sync=True)
max = Float(None, allow_none=True).tag(sync=True)
_view_name = Unicode('LogScale').tag(sync=True)
_model_name = Unicode('LogScaleModel').tag(sync=True)
| (*args: 't.Any', **kwargs: 't.Any') -> 't.Any' | [
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|
34,078 | bqplot.marks | Map | Map mark.
Attributes
----------
colors: Dict (default: {})
default colors for items of the map when no color data is passed.
The dictionary should be indexed by the id of the element and have
the corresponding colors as values. The key `default_color`
controls the items for which no color is specified.
selected_styles: Dict (default: {'selected_fill': 'Red',
'selected_stroke': None, 'selected_stroke_width': 2.0})
Dictionary containing the styles for selected subunits
hovered_styles: Dict (default: {'hovered_fill': 'Orange',
'hovered_stroke': None, 'hovered_stroke_width': 2.0})
Dictionary containing the styles for hovered subunits
hover_highlight: bool (default: True)
boolean to control if the map should be aware of which country is being
hovered on.
map_data: dict (default: topo_load("map_data/WorldMap.json"))
a topojson-formatted dictionary with the objects to map under the key
'subunits'.
Data Attributes
color: Dict or None (default: None)
dictionary containing the data associated with every country for the
color scale
| class Map(Mark):
"""Map mark.
Attributes
----------
colors: Dict (default: {})
default colors for items of the map when no color data is passed.
The dictionary should be indexed by the id of the element and have
the corresponding colors as values. The key `default_color`
controls the items for which no color is specified.
selected_styles: Dict (default: {'selected_fill': 'Red',
'selected_stroke': None, 'selected_stroke_width': 2.0})
Dictionary containing the styles for selected subunits
hovered_styles: Dict (default: {'hovered_fill': 'Orange',
'hovered_stroke': None, 'hovered_stroke_width': 2.0})
Dictionary containing the styles for hovered subunits
hover_highlight: bool (default: True)
boolean to control if the map should be aware of which country is being
hovered on.
map_data: dict (default: topo_load("map_data/WorldMap.json"))
a topojson-formatted dictionary with the objects to map under the key
'subunits'.
Data Attributes
color: Dict or None (default: None)
dictionary containing the data associated with every country for the
color scale
"""
# Mark decoration
icon = 'fa-globe'
name = 'Map'
# Scaled attributes
color = Dict(allow_none=True).tag(sync=True, scaled=True, rtype='Color',
atype='bqplot.ColorAxis')
# Other attributes
scales_metadata = Dict({'color': {'dimension': 'color'}}).tag(sync=True)
hover_highlight = Bool(True).tag(sync=True)
hovered_styles = Dict({
'hovered_fill': 'Orange',
'hovered_stroke': None,
'hovered_stroke_width': 2.0}, allow_none=True).tag(sync=True)
stroke_color = Color(default_value=None, allow_none=True).tag(sync=True)
colors = Dict().tag(sync=True, display_name='Colors')
scales_metadata = Dict({'color': {'dimension': 'color'},
'projection': {'dimension': 'geo'}}).tag(sync=True)
selected_styles = Dict({
'selected_fill': 'Red',
'selected_stroke': None,
'selected_stroke_width': 2.0
}).tag(sync=True)
map_data = Dict(topo_load('map_data/WorldMap.json')).tag(sync=True)
_view_name = Unicode('Map').tag(sync=True)
_model_name = Unicode('MapModel').tag(sync=True)
| (*args: 't.Any', **kwargs: 't.Any') -> 't.Any' | [
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|
34,143 | bqplot.marks | Mark | The base mark class.
Traitlet mark attributes may be decorated with metadata.
**Data Attribute Decoration**
Data attributes are decorated with the following values:
scaled: bool
Indicates whether the considered attribute is a data attribute which
must be associated with a scale in order to be taken into account.
rtype: string
Range type of the associated scale.
atype: string
Key in bqplot's axis registry of the recommended axis type to represent
this scale. When not specified, the default is 'bqplot.Axis'.
Attributes
----------
display_name: string
Holds a user-friendly name for the trait attribute.
mark_types: dict (class-level attribute)
A registry of existing mark types.
scales: Dict of scales (default: {})
A dictionary of scales holding scales for each data attribute.
- If a mark holds a scaled attribute named 'x', the scales dictionary
must have a corresponding scale for the key 'x'.
- The scale's range type should be equal to the scaled attribute's
range type (rtype).
scales_metadata: Dict (default: {})
A dictionary of dictionaries holding metadata on the way scales are
used by the mark. For example, a linear scale may be used to count
pixels horizontally or vertically. The content of this dictionary
may change dynamically. It is an instance-level attribute.
preserve_domain: dict (default: {})
Indicates if this mark affects the domain(s) of the specified scale(s).
The keys of this dictionary are the same as the ones of the "scales"
attribute, and values are boolean. If a key is missing, it is
considered as False.
display_legend: bool (default: False)
Display toggle for the mark legend in the general figure legend
labels: list of unicode strings (default: [])
Labels of the items of the mark. This attribute has different meanings
depending on the type of mark.
apply_clip: bool (default: True)
Indicates whether the items that are beyond the limits of the chart
should be clipped.
visible: bool (default: True)
Visibility toggle for the mark.
selected_style: dict (default: {})
CSS style to be applied to selected items in the mark.
unselected_style: dict (default: {})
CSS style to be applied to items that are not selected in the mark,
when a selection exists.
selected: list of integers or None (default: None)
Indices of the selected items in the mark.
tooltip: DOMWidget or None (default: None)
Widget to be displayed as tooltip when elements of the scatter are
hovered on
tooltip_style: Dictionary (default: {'opacity': 0.9})
Styles to be applied to the tooltip widget
enable_hover: Bool (default: True)
Boolean attribute to control the hover interaction for the scatter. If
this is false, the on_hover custom mssg is not sent back to the python
side
interactions: Dictionary (default: {'hover': 'tooltip'})
Dictionary listing the different interactions for each mark. The key is
the event which triggers the interaction and the value is the kind of
interactions. Keys and values can only take strings from separate enums
for each mark.
tooltip_location : {'mouse', 'center'} (default: 'mouse')
Enum specifying the location of the tooltip. 'mouse' places the tooltip
at the location of the mouse when the tooltip is activated and 'center'
places the tooltip at the center of the figure. If tooltip is linked to
a click event, 'mouse' places the tooltip at the location of the click
that triggered the tooltip to be visible.
| class Mark(Widget):
"""The base mark class.
Traitlet mark attributes may be decorated with metadata.
**Data Attribute Decoration**
Data attributes are decorated with the following values:
scaled: bool
Indicates whether the considered attribute is a data attribute which
must be associated with a scale in order to be taken into account.
rtype: string
Range type of the associated scale.
atype: string
Key in bqplot's axis registry of the recommended axis type to represent
this scale. When not specified, the default is 'bqplot.Axis'.
Attributes
----------
display_name: string
Holds a user-friendly name for the trait attribute.
mark_types: dict (class-level attribute)
A registry of existing mark types.
scales: Dict of scales (default: {})
A dictionary of scales holding scales for each data attribute.
- If a mark holds a scaled attribute named 'x', the scales dictionary
must have a corresponding scale for the key 'x'.
- The scale's range type should be equal to the scaled attribute's
range type (rtype).
scales_metadata: Dict (default: {})
A dictionary of dictionaries holding metadata on the way scales are
used by the mark. For example, a linear scale may be used to count
pixels horizontally or vertically. The content of this dictionary
may change dynamically. It is an instance-level attribute.
preserve_domain: dict (default: {})
Indicates if this mark affects the domain(s) of the specified scale(s).
The keys of this dictionary are the same as the ones of the "scales"
attribute, and values are boolean. If a key is missing, it is
considered as False.
display_legend: bool (default: False)
Display toggle for the mark legend in the general figure legend
labels: list of unicode strings (default: [])
Labels of the items of the mark. This attribute has different meanings
depending on the type of mark.
apply_clip: bool (default: True)
Indicates whether the items that are beyond the limits of the chart
should be clipped.
visible: bool (default: True)
Visibility toggle for the mark.
selected_style: dict (default: {})
CSS style to be applied to selected items in the mark.
unselected_style: dict (default: {})
CSS style to be applied to items that are not selected in the mark,
when a selection exists.
selected: list of integers or None (default: None)
Indices of the selected items in the mark.
tooltip: DOMWidget or None (default: None)
Widget to be displayed as tooltip when elements of the scatter are
hovered on
tooltip_style: Dictionary (default: {'opacity': 0.9})
Styles to be applied to the tooltip widget
enable_hover: Bool (default: True)
Boolean attribute to control the hover interaction for the scatter. If
this is false, the on_hover custom mssg is not sent back to the python
side
interactions: Dictionary (default: {'hover': 'tooltip'})
Dictionary listing the different interactions for each mark. The key is
the event which triggers the interaction and the value is the kind of
interactions. Keys and values can only take strings from separate enums
for each mark.
tooltip_location : {'mouse', 'center'} (default: 'mouse')
Enum specifying the location of the tooltip. 'mouse' places the tooltip
at the location of the mouse when the tooltip is activated and 'center'
places the tooltip at the center of the figure. If tooltip is linked to
a click event, 'mouse' places the tooltip at the location of the click
that triggered the tooltip to be visible.
"""
mark_types = {}
scales = Dict(value_trait=Instance(Scale)).tag(sync=True, **widget_serialization)
scales_metadata = Dict().tag(sync=True)
preserve_domain = Dict().tag(sync=True)
display_legend = Bool().tag(sync=True, display_name='Display legend')
labels = List(trait=Unicode()).tag(sync=True, display_name='Labels')
apply_clip = Bool(True).tag(sync=True)
visible = Bool(True).tag(sync=True)
selected_style = Dict().tag(sync=True)
unselected_style = Dict().tag(sync=True)
selected = Array(None, allow_none=True).tag(sync=True, **array_serialization)
enable_hover = Bool(True).tag(sync=True)
tooltip = Instance(DOMWidget, allow_none=True, default_value=None)\
.tag(sync=True, **widget_serialization)
tooltip_style = Dict({'opacity': 0.9}).tag(sync=True)
interactions = Dict({'hover': 'tooltip'}).tag(sync=True)
tooltip_location = Enum(['mouse', 'center'], default_value='mouse')\
.tag(sync=True)
_model_name = Unicode('MarkModel').tag(sync=True)
_model_module = Unicode('bqplot').tag(sync=True)
_view_module = Unicode('bqplot').tag(sync=True)
_view_module_version = Unicode(__frontend_version__).tag(sync=True)
_model_module_version = Unicode(__frontend_version__).tag(sync=True)
_ipython_display_ = None
def _get_dimension_scales(self, dimension, preserve_domain=False):
"""
Return the list of scales corresponding to a given dimension.
The preserve_domain optional argument specifies whether one should
filter out the scales for which preserve_domain is set to True.
"""
if preserve_domain:
return [
self.scales[k] for k in self.scales if (
k in self.scales_metadata and
self.scales_metadata[k].get('dimension') == dimension and
not self.preserve_domain.get(k)
)
]
else:
return [
self.scales[k] for k in self.scales if (
k in self.scales_metadata and
self.scales_metadata[k].get('dimension') == dimension
)
]
@validate('scales')
def _validate_scales(self, proposal):
"""
Validates the `scales` based on the mark's scaled attributes metadata.
First checks for missing scale and then for 'rtype' compatibility.
"""
# Validate scales' 'rtype' versus data attribute 'rtype' decoration
# At this stage it is already validated that all values in self.scales
# are instances of Scale.
scales = proposal.value
for name in self.trait_names(scaled=True):
trait = self.traits()[name]
if name not in scales:
# Check for missing scale
if not trait.allow_none:
raise TraitError("Missing scale for data attribute %s." %
name)
else:
# Check scale range type compatibility
if scales[name].rtype != trait.metadata['rtype']:
raise TraitError("Range type mismatch for scale %s." %
name)
return scales
def __init__(self, **kwargs):
super(Mark, self).__init__(**kwargs)
self._hover_handlers = CallbackDispatcher()
self._click_handlers = CallbackDispatcher()
self._legend_click_handlers = CallbackDispatcher()
self._legend_hover_handlers = CallbackDispatcher()
self._element_click_handlers = CallbackDispatcher()
self._bg_click_handlers = CallbackDispatcher()
self._name_to_handler = {
'hover': self._hover_handlers,
'click': self._click_handlers,
'legend_click': self._legend_click_handlers,
'legend_hover': self._legend_hover_handlers,
'element_click': self._element_click_handlers,
'background_click': self._bg_click_handlers
}
self.on_msg(self._handle_custom_msgs)
def on_hover(self, callback, remove=False):
self._hover_handlers.register_callback(callback, remove=remove)
def on_click(self, callback, remove=False):
self._click_handlers.register_callback(callback, remove=rem | (**kwargs) | [
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|
34,208 | bqplot.scales | Mercator | A geographical projection scale commonly used for world maps.
The Mercator projection is a cylindrical map projection which ensures that
any course of constant bearing is a straight line.
Attributes
----------
scale_factor: float (default: 190)
Specifies the scale value for the projection
center: tuple (default: (0, 60))
Specifies the longitude and latitude where the map is centered.
rotate: tuple (default: (0, 0))
Degree of rotation in each axis.
rtype: (Number, Number) (class-level attribute)
This attribute should not be modified. The range type of a geo
scale is a tuple.
dtype: type (class-level attribute)
the associated data type / domain type
| class Mercator(GeoScale):
"""A geographical projection scale commonly used for world maps.
The Mercator projection is a cylindrical map projection which ensures that
any course of constant bearing is a straight line.
Attributes
----------
scale_factor: float (default: 190)
Specifies the scale value for the projection
center: tuple (default: (0, 60))
Specifies the longitude and latitude where the map is centered.
rotate: tuple (default: (0, 0))
Degree of rotation in each axis.
rtype: (Number, Number) (class-level attribute)
This attribute should not be modified. The range type of a geo
scale is a tuple.
dtype: type (class-level attribute)
the associated data type / domain type
"""
scale_factor = Float(190).tag(sync=True)
center = Tuple((0, 60)).tag(sync=True)
rotate = Tuple((0, 0)).tag(sync=True)
rtype = '(Number, Number)'
dtype = np.number
_view_name = Unicode('Mercator').tag(sync=True)
_model_name = Unicode('MercatorModel').tag(sync=True)
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|
34,265 | bqplot.marks | OHLC | Open/High/Low/Close marks.
Attributes
----------
icon: string (class-level attribute)
font-awesome icon for that mark
name: string (class-level attribute)
user-friendly name of the mark
marker: {'candle', 'bar'}
marker type
stroke: color (default: None)
stroke color of the marker
stroke_width: float (default: 1.0)
stroke width of the marker
colors: List of colors (default: ['limegreen', 'red'])
fill colors for the markers (up/down)
opacities: list of floats (default: [])
Opacities for the markers of the OHLC mark. Defaults to 1 when
the list is too short, or the element of the list is set to None.
format: string (default: 'ohlc')
description of y data being passed
supports all permutations of the strings 'ohlc', 'oc', and 'hl'
Data Attributes
x: numpy.ndarray
abscissas of the data points (1d array)
y: numpy.ndarrays
Open/High/Low/Close ordinates of the data points (2d array)
Notes
-----
The fields which can be passed to the default tooltip are:
x: the x value associated with the bar/candle
open: open value for the bar/candle
high: high value for the bar/candle
low: low value for the bar/candle
close: close value for the bar/candle
index: index of the bar/candle being hovered on
| class OHLC(Mark):
"""Open/High/Low/Close marks.
Attributes
----------
icon: string (class-level attribute)
font-awesome icon for that mark
name: string (class-level attribute)
user-friendly name of the mark
marker: {'candle', 'bar'}
marker type
stroke: color (default: None)
stroke color of the marker
stroke_width: float (default: 1.0)
stroke width of the marker
colors: List of colors (default: ['limegreen', 'red'])
fill colors for the markers (up/down)
opacities: list of floats (default: [])
Opacities for the markers of the OHLC mark. Defaults to 1 when
the list is too short, or the element of the list is set to None.
format: string (default: 'ohlc')
description of y data being passed
supports all permutations of the strings 'ohlc', 'oc', and 'hl'
Data Attributes
x: numpy.ndarray
abscissas of the data points (1d array)
y: numpy.ndarrays
Open/High/Low/Close ordinates of the data points (2d array)
Notes
-----
The fields which can be passed to the default tooltip are:
x: the x value associated with the bar/candle
open: open value for the bar/candle
high: high value for the bar/candle
low: low value for the bar/candle
close: close value for the bar/candle
index: index of the bar/candle being hovered on
"""
# Mark decoration
icon = 'fa-birthday-cake'
name = 'OHLC chart'
# Scaled attributes
x = Array([]).tag(sync=True, scaled=True,
rtype='Number', atype='bqplot.Axis',
**array_serialization)\
.valid(array_squeeze, array_dimension_bounds(1, 1))
y = Array([[]]).tag(sync=True, scaled=True,
rtype='Number', atype='bqplot.Axis',
**array_serialization)\
.valid(array_dimension_bounds(1, 2))
# Other attributes
scales_metadata = Dict({
'x': {'orientation': 'horizontal', 'dimension': 'x'},
'y': {'orientation': 'vertical', 'dimension': 'y'}
}).tag(sync=True)
marker = Enum(['candle', 'bar'], default_value='candle')\
.tag(sync=True, display_name='Marker')
stroke = Color(None, allow_none=True)\
.tag(sync=True, display_name='Stroke color')
stroke_width = Float(1.0).tag(sync=True, display_name='Stroke Width')
colors = List(trait=Color(default_value=None, allow_none=True),
default_value=['green', 'red'])\
.tag(sync=True, display_name='Colors')
opacities = List(trait=Float(1.0, min=0, max=1, allow_none=True))\
.tag(sync=True, display_name='Opacities')
format = Unicode('ohlc').tag(sync=True, display_name='Format')
_view_name = Unicode('OHLC').tag(sync=True)
_model_name = Unicode('OHLCModel').tag(sync=True)
| (*args: 't.Any', **kwargs: 't.Any') -> 't.Any' | [
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|
34,330 | bqplot.scales | OrdinalColorScale | An ordinal color scale.
A mapping from a discrete set of values to colors.
Attributes
----------
domain: list (default: [])
The discrete values mapped by the ordinal scales.
rtype: string (class-level attribute)
This attribute should not be modified by the user.
The range type of a color scale is 'color'.
dtype: type (class-level attribute)
the associated data type / domain type
| class OrdinalColorScale(ColorScale):
"""An ordinal color scale.
A mapping from a discrete set of values to colors.
Attributes
----------
domain: list (default: [])
The discrete values mapped by the ordinal scales.
rtype: string (class-level attribute)
This attribute should not be modified by the user.
The range type of a color scale is 'color'.
dtype: type (class-level attribute)
the associated data type / domain type
"""
rtype = 'Color'
dtype = np.str_
domain = List().tag(sync=True)
_view_name = Unicode('OrdinalColorScale').tag(sync=True)
_model_name = Unicode('OrdinalColorScaleModel').tag(sync=True)
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|
34,387 | bqplot.scales | OrdinalScale | An ordinal scale.
A mapping from a discrete set of values to a numerical range.
Attributes
----------
domain: list (default: [])
The discrete values mapped by the ordinal scale
rtype: string (class-level attribute)
This attribute should not be modified by the user.
The range type of a linear scale is numerical.
dtype: type (class-level attribute)
the associated data type / domain type
| class OrdinalScale(Scale):
"""An ordinal scale.
A mapping from a discrete set of values to a numerical range.
Attributes
----------
domain: list (default: [])
The discrete values mapped by the ordinal scale
rtype: string (class-level attribute)
This attribute should not be modified by the user.
The range type of a linear scale is numerical.
dtype: type (class-level attribute)
the associated data type / domain type
"""
rtype = 'Number'
dtype = np.str_
domain = List().tag(sync=True)
_view_name = Unicode('OrdinalScale').tag(sync=True)
_model_name = Unicode('OrdinalScaleModel').tag(sync=True)
| (*args: 't.Any', **kwargs: 't.Any') -> 't.Any' | [
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|
34,444 | bqplot.scales | Orthographic | A perspective projection that depicts a hemisphere as it appears from
outer space.
The projection is neither equal-area nor conformal.
Attributes
----------
scale_factor: float (default: 145)
Specifies the scale value for the projection
center: tuple (default: (0, 60))
Specifies the longitude and latitude where the map is centered.
rotate: tuple (default: (96, 0))
Degree of rotation in each axis.
clip_angle: float (default: 90.)
Specifies the clipping circle radius to the specified angle in degrees.
precision: float (default: 0.1)
Specifies the threshold for the projections adaptive resampling to the
specified value in pixels.
| class Orthographic(GeoScale):
"""A perspective projection that depicts a hemisphere as it appears from
outer space.
The projection is neither equal-area nor conformal.
Attributes
----------
scale_factor: float (default: 145)
Specifies the scale value for the projection
center: tuple (default: (0, 60))
Specifies the longitude and latitude where the map is centered.
rotate: tuple (default: (96, 0))
Degree of rotation in each axis.
clip_angle: float (default: 90.)
Specifies the clipping circle radius to the specified angle in degrees.
precision: float (default: 0.1)
Specifies the threshold for the projections adaptive resampling to the
specified value in pixels.
"""
scale_factor = Float(145.0).tag(sync=True)
center = Tuple((0, 60)).tag(sync=True)
rotate = Tuple((0, 0)).tag(sync=True)
clip_angle = Float(90.0, min=0.0, max=360.0).tag(sync=True)
precision = Float(0.1).tag(sync=True)
rtype = '(Number, Number)'
dtype = np.number
_view_name = Unicode('Orthographic').tag(sync=True)
_model_name = Unicode('OrthographicModel').tag(sync=True)
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|
34,501 | bqplot.interacts | PanZoom | An interaction to pan and zoom wrt scales.
Attributes
----------
allow_pan: bool (default: True)
Toggle the ability to pan.
allow_zoom: bool (default: True)
Toggle the ability to zoom.
scales: Dictionary of lists of Scales (default: {})
Dictionary with keys such as 'x' and 'y' and values being the scales in
the corresponding direction (dimensions) which should be panned or
zoomed.
| class PanZoom(Interaction):
"""An interaction to pan and zoom wrt scales.
Attributes
----------
allow_pan: bool (default: True)
Toggle the ability to pan.
allow_zoom: bool (default: True)
Toggle the ability to zoom.
scales: Dictionary of lists of Scales (default: {})
Dictionary with keys such as 'x' and 'y' and values being the scales in
the corresponding direction (dimensions) which should be panned or
zoomed.
"""
allow_pan = Bool(True).tag(sync=True)
allow_zoom = Bool(True).tag(sync=True)
scales = Dict(value_trait=List(trait=Instance(Scale)))\
.tag(sync=True, **widget_serialization)
_view_name = Unicode('PanZoom').tag(sync=True)
_model_name = Unicode('PanZoomModel').tag(sync=True)
| (*args: 't.Any', **kwargs: 't.Any') -> 't.Any' | [
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|
34,558 | bqplot.marks | Pie | Piechart mark.
Attributes
----------
colors: list of colors (default: CATEGORY10)
list of colors for the slices.
stroke: color (default: 'white')
stroke color for the marker
opacities: list of floats (default: [])
Opacities for the slices of the Pie mark. Defaults to 1 when the list
is too short, or the element of the list is set to None.
sort: bool (default: False)
sort the pie slices by descending sizes
x: Float (default: 0.5) or Date
horizontal position of the pie center, in data coordinates or in figure
coordinates
y: Float (default: 0.5)
vertical y position of the pie center, in data coordinates or in figure
coordinates
radius: Float
radius of the pie, in pixels
inner_radius: Float
inner radius of the pie, in pixels
start_angle: Float (default: 0.0)
start angle of the pie (from top), in degrees
end_angle: Float (default: 360.0)
end angle of the pie (from top), in degrees
display_labels: {'none', 'inside', 'outside'} (default: 'inside')
label display options
display_values: bool (default: False)
if True show values along with labels
values_format: string (default: '.2f')
format for displaying values
label_color: Color or None (default: None)
color of the labels
font_size: string (default: '14px')
label font size in px, em or ex
font_weight: {'bold', 'normal', 'bolder'} (default: 'normal')
label font weight
Data Attributes
sizes: numpy.ndarray (default: [])
proportions of the pie slices
color: numpy.ndarray or None (default: None)
color of the data points. Defaults to colors when not provided.
Notes
-----
The fields which can be passed to the default tooltip are:
: the x value associated with the bar/candle
open: open value for the bar/candle
high: high value for the bar/candle
low: low value for the bar/candle
close: close value for the bar/candle
index: index of the bar/candle being hovered on
| class Pie(Mark):
"""Piechart mark.
Attributes
----------
colors: list of colors (default: CATEGORY10)
list of colors for the slices.
stroke: color (default: 'white')
stroke color for the marker
opacities: list of floats (default: [])
Opacities for the slices of the Pie mark. Defaults to 1 when the list
is too short, or the element of the list is set to None.
sort: bool (default: False)
sort the pie slices by descending sizes
x: Float (default: 0.5) or Date
horizontal position of the pie center, in data coordinates or in figure
coordinates
y: Float (default: 0.5)
vertical y position of the pie center, in data coordinates or in figure
coordinates
radius: Float
radius of the pie, in pixels
inner_radius: Float
inner radius of the pie, in pixels
start_angle: Float (default: 0.0)
start angle of the pie (from top), in degrees
end_angle: Float (default: 360.0)
end angle of the pie (from top), in degrees
display_labels: {'none', 'inside', 'outside'} (default: 'inside')
label display options
display_values: bool (default: False)
if True show values along with labels
values_format: string (default: '.2f')
format for displaying values
label_color: Color or None (default: None)
color of the labels
font_size: string (default: '14px')
label font size in px, em or ex
font_weight: {'bold', 'normal', 'bolder'} (default: 'normal')
label font weight
Data Attributes
sizes: numpy.ndarray (default: [])
proportions of the pie slices
color: numpy.ndarray or None (default: None)
color of the data points. Defaults to colors when not provided.
Notes
-----
The fields which can be passed to the default tooltip are:
: the x value associated with the bar/candle
open: open value for the bar/candle
high: high value for the bar/candle
low: low value for the bar/candle
close: close value for the bar/candle
index: index of the bar/candle being hovered on
"""
# Mark decoration
icon = 'fa-pie-chart'
name = 'Pie chart'
# Scaled attributes
sizes = Array([]).tag(sync=True, rtype='Number', **array_serialization)\
.valid(array_squeeze, array_dimension_bounds(1, 1))
color = Array(None, allow_none=True).tag(sync=True,
scaled=True,
rtype='Color',
atype='bqplot.ColorAxis',
**array_serialization)\
.valid(array_squeeze, array_dimension_bounds(1, 1))
# Other attributes
x = (Float(0.5) | Date() | Unicode()).tag(sync=True)
y = (Float(0.5) | Date() | Unicode()).tag(sync=True)
scales_metadata = Dict({'color': {'dimension': 'color'}}).tag(sync=True)
sort = Bool().tag(sync=True)
colors = List(trait=Color(default_value=None, allow_none=True),
default_value=CATEGORY10).tag(sync=True,
display_name='Colors')
stroke = Color(None, allow_none=True).tag(sync=True)
opacities = List(trait=Float(1.0, min=0, max=1, allow_none=True))\
.tag(sync=True, display_name='Opacities')
radius = Float(180.0, min=0.0, max=float('inf')).tag(sync=True)
inner_radius = Float(0.1, min=0.0, max=float('inf')).tag(sync=True)
start_angle = Float().tag(sync=True)
end_angle = Float(360.0).tag(sync=True)
display_labels = Enum(['none', 'inside', 'outside'],
default_value='inside').tag(sync=True)
display_values = Bool(False).tag(sync=True)
values_format = Unicode(default_value='.1f').tag(sync=True)
label_color = Color(None, allow_none=True).tag(sync=True)
font_size = Unicode(default_value='12px').tag(sync=True)
font_weight = Enum(['bold', 'normal', 'bolder'],
default_value='normal').tag(sync=True)
_view_name = Unicode('Pie').tag(sync=True)
_model_name = Unicode('PieModel').tag(sync=True)
| (*args: 't.Any', **kwargs: 't.Any') -> 't.Any' | [
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|
34,623 | bqplot.plotting_widgets | Radar |
Radar chart created from a pandas Dataframe. Each column of the df will be
represented as a loop in the radar chart. Each row of the df will be
represented as a spoke of the radar chart
Attributes
----------
data: DataFrame
data for the radar
band_type: {"circle", "polygon"} (default: "circle")
type of bands to display in the radar
num_bands: Int (default: 5)
number of bands on the radar. As of now, this attribute is not
dynamic and it has to set in the constructor
data_range: List (default: [0, 1])
range of data
fill: Bool(default: True)
flag which lets us fill the radar loops or not
| class Radar(Figure):
"""
Radar chart created from a pandas Dataframe. Each column of the df will be
represented as a loop in the radar chart. Each row of the df will be
represented as a spoke of the radar chart
Attributes
----------
data: DataFrame
data for the radar
band_type: {"circle", "polygon"} (default: "circle")
type of bands to display in the radar
num_bands: Int (default: 5)
number of bands on the radar. As of now, this attribute is not
dynamic and it has to set in the constructor
data_range: List (default: [0, 1])
range of data
fill: Bool(default: True)
flag which lets us fill the radar loops or not
"""
data = DataFrame()
data_range = List([0, 1]).tag(sync=True)
band_type = Enum(
["circle", "polygon"], default_value="circle", allow_none=True
).tag(sync=True)
colors = List(default_value=CATEGORY10).tag(sync=True)
num_bands = Int(default_value=5).tag(sync=True)
fill = Bool(default_value=False).tag(sync=True)
def __init__(self, **kwargs):
super(Radar, self).__init__(**kwargs)
self.scales = {"x": LinearScale(), "y": LinearScale()}
# set some defaults for the figure
self.layout = Layout(min_width="600px", min_height="600px")
self.max_aspect_ratio = 1
self.preserve_aspect = True
# marks for the radar figure
# spokes (straight lines going away from the center)
self.spokes = Lines(
scales=self.scales, colors=["#ccc"], stroke_width=0.5
)
# bands
self.bands = Lines(
colors=["#ccc"], scales=self.scales, stroke_width=0.5
)
# loops of the radar
self.loops = Lines(
scales=self.scales,
display_legend=True,
colors=self.colors,
stroke_width=2,
fill="inside" if self.fill else "none",
marker="circle",
marker_size=50,
)
self.band_labels = Label(
scales=self.scales,
default_size=12,
font_weight="normal",
apply_clip=False,
colors=["#ccc"],
align="middle",
)
self.spoke_labels = Label(
scales=self.scales,
default_size=14,
font_weight="bold",
apply_clip=False,
colors=["#ccc"],
align="middle",
)
self.marks = [
self.spokes,
self.bands,
self.loops,
self.band_labels,
self.spoke_labels,
]
# handlers for data updates
self.observe(self.update_data, "data")
self.observe(self.update_bands, ["band_type", "num_bands"])
self.observe(self.update_fill, "fill")
self.loops.on_legend_click(self.on_legend_click)
self.loops.on_background_click(self.reset)
self.update_bands(None)
self.update_data(None)
def update_bands(self, *args):
band_data = np.linspace(
self.data_range[0], self.data_range[1], self.num_bands + 1
)
self.scaled_band_data = (
(band_data - self.data_range[0])
/ (self.data_range[1] - self.data_range[0])
)[:, np.newaxis]
n = len(self.data.index)
if self.band_type == "circle":
t = np.linspace(0, 2 * np.pi, 1000)
band_data_x, band_data_y = (
self.scaled_band_data * np.cos(t),
self.scaled_band_data * np.sin(t),
)
elif self.band_type == "polygon":
t = np.linspace(0, 2 * np.pi, n + 1)
band_data_x, band_data_y = (
self.scaled_band_data * np.sin(t),
self.scaled_band_data * np.cos(t),
)
with self.bands.hold_sync():
self.bands.x = band_data_x
self.bands.y = band_data_y
with self.band_labels.hold_sync():
self.band_labels.x = self.scaled_band_data[:, 0]
self.band_labels.y = [0.0] * (self.num_bands + 1)
self.band_labels.text = ["{:.0%}".format(b) for b in band_data]
def update_data(self, *args):
self.update_bands(None)
rows = list(self.data.index)
n = len(rows)
# spokes representing each data set
self.spoke_data_t = np.linspace(0, 2 * np.pi, n + 1)[:-1]
spoke_data_x, spoke_data_y = (
np.sin(self.spoke_data_t),
np.cos(self.spoke_data_t),
)
# Update mark data based on data changes
with self.spokes.hold_sync():
self.spokes.x = np.column_stack(
[self.scaled_band_data[1] * spoke_data_x, spoke_data_x]
)
self.spokes.y = np.column_stack(
[self.scaled_band_data[1] * spoke_data_y, spoke_data_y]
)
scaled_data = (self.data.values - self.data_range[0]) / (
self.data_range[1] - self.data_range[0]
)
data_x = scaled_data * np.sin(self.spoke_data_t)[:, np.newaxis]
data_y = scaled_data * np.cos(self.spoke_data_t)[:, np.newaxis]
# update data lines
with self.loops.hold_sync():
self.loops.x = np.column_stack([data_x.T, data_x.T[:, 0]])
self.loops.y = np.column_stack([data_y.T, data_y.T[:, 0]])
if self.fill:
self.loops.fill = "inside"
self.loops.fill_opacities = [0.2] * len(self.loops.y)
else:
self.loops.fill = "none"
self.loops.fill_opacities = [0.0] * len(self.loops.y)
self.loops.labels = [str(c) for c in self.data.columns]
# update spoke labels
t = np.linspace(0, 2 * np.pi, n + 1)
with self.spoke_labels.hold_sync():
self.spoke_labels.text = [str(row) for row in rows]
self.spoke_labels.x = np.sin(t)
self.spoke_labels.y = np.cos(t)
def update_fill(self, *args):
if self.fill:
with self.loops.hold_sync():
self.loops.fill = "inside"
self.loops.fill_opacities = [0.2] * len(self.loops.y)
else:
self.loops.fill = "none"
self.loops.fill_opacities = [0.0] * len(self.loops.y)
def on_legend_click(self, line, target):
selected_ix = target["data"]["index"]
n = len(line.y)
opacities = line.opacities
if opacities is None or len(opacities) == 0:
opacities = [1.0] * n
new_opacities = [0.1] * n
new_opacities[selected_ix] = 1
line.opacities = new_opacities
def reset(self, line, target):
line.opacities = [1.0] * len(line.y)
| (**kwargs) | [
0.04378481209278107,
-0.08216461539268494,
-0.015010439790785313,
0.07508362084627151,
-0.07495792210102081,
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-0.04793284833431244,
0.04238118603825569,
-0.013177343644201756,
0.009359265677630901,
-0.022395199164748192,
0.007609968073666096,
0.07508362084627151,
0.004504179581999779,
-0.01315639354288578,
0.007211924530565739,
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0.009364503435790539,
0.027800213545560837,
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0.014413373544812202,
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-0.0030272274743765593,
0.02679462917149067,
0.021557211875915527,
0.06213672459125519,
-0.02031070739030838,
0.03190635144710541,
-0.028261106461286545,
0.013533487915992737,
-0.014109604060649872,
-0.02914099395275116,
0.000426849554060027,
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0.03846359625458717,
-0.047052960842847824,
0.0009499366860836744,
-0.0011352102737873793,
-0.033498525619506836,
0.023044638335704803,
0.02111726813018322,
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|
34,628 | bqplot.plotting_widgets | __init__ | null | def __init__(self, **kwargs):
super(Radar, self).__init__(**kwargs)
self.scales = {"x": LinearScale(), "y": LinearScale()}
# set some defaults for the figure
self.layout = Layout(min_width="600px", min_height="600px")
self.max_aspect_ratio = 1
self.preserve_aspect = True
# marks for the radar figure
# spokes (straight lines going away from the center)
self.spokes = Lines(
scales=self.scales, colors=["#ccc"], stroke_width=0.5
)
# bands
self.bands = Lines(
colors=["#ccc"], scales=self.scales, stroke_width=0.5
)
# loops of the radar
self.loops = Lines(
scales=self.scales,
display_legend=True,
colors=self.colors,
stroke_width=2,
fill="inside" if self.fill else "none",
marker="circle",
marker_size=50,
)
self.band_labels = Label(
scales=self.scales,
default_size=12,
font_weight="normal",
apply_clip=False,
colors=["#ccc"],
align="middle",
)
self.spoke_labels = Label(
scales=self.scales,
default_size=14,
font_weight="bold",
apply_clip=False,
colors=["#ccc"],
align="middle",
)
self.marks = [
self.spokes,
self.bands,
self.loops,
self.band_labels,
self.spoke_labels,
]
# handlers for data updates
self.observe(self.update_data, "data")
self.observe(self.update_bands, ["band_type", "num_bands"])
self.observe(self.update_fill, "fill")
self.loops.on_legend_click(self.on_legend_click)
self.loops.on_background_click(self.reset)
self.update_bands(None)
self.update_data(None)
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|
34,668 | bqplot.plotting_widgets | on_legend_click | null | def on_legend_click(self, line, target):
selected_ix = target["data"]["index"]
n = len(line.y)
opacities = line.opacities
if opacities is None or len(opacities) == 0:
opacities = [1.0] * n
new_opacities = [0.1] * n
new_opacities[selected_ix] = 1
line.opacities = new_opacities
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|
34,674 | bqplot.plotting_widgets | reset | null | def reset(self, line, target):
line.opacities = [1.0] * len(line.y)
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|
34,690 | bqplot.plotting_widgets | update_bands | null | def update_bands(self, *args):
band_data = np.linspace(
self.data_range[0], self.data_range[1], self.num_bands + 1
)
self.scaled_band_data = (
(band_data - self.data_range[0])
/ (self.data_range[1] - self.data_range[0])
)[:, np.newaxis]
n = len(self.data.index)
if self.band_type == "circle":
t = np.linspace(0, 2 * np.pi, 1000)
band_data_x, band_data_y = (
self.scaled_band_data * np.cos(t),
self.scaled_band_data * np.sin(t),
)
elif self.band_type == "polygon":
t = np.linspace(0, 2 * np.pi, n + 1)
band_data_x, band_data_y = (
self.scaled_band_data * np.sin(t),
self.scaled_band_data * np.cos(t),
)
with self.bands.hold_sync():
self.bands.x = band_data_x
self.bands.y = band_data_y
with self.band_labels.hold_sync():
self.band_labels.x = self.scaled_band_data[:, 0]
self.band_labels.y = [0.0] * (self.num_bands + 1)
self.band_labels.text = ["{:.0%}".format(b) for b in band_data]
| (self, *args) | [
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|
34,691 | bqplot.plotting_widgets | update_data | null | def update_data(self, *args):
self.update_bands(None)
rows = list(self.data.index)
n = len(rows)
# spokes representing each data set
self.spoke_data_t = np.linspace(0, 2 * np.pi, n + 1)[:-1]
spoke_data_x, spoke_data_y = (
np.sin(self.spoke_data_t),
np.cos(self.spoke_data_t),
)
# Update mark data based on data changes
with self.spokes.hold_sync():
self.spokes.x = np.column_stack(
[self.scaled_band_data[1] * spoke_data_x, spoke_data_x]
)
self.spokes.y = np.column_stack(
[self.scaled_band_data[1] * spoke_data_y, spoke_data_y]
)
scaled_data = (self.data.values - self.data_range[0]) / (
self.data_range[1] - self.data_range[0]
)
data_x = scaled_data * np.sin(self.spoke_data_t)[:, np.newaxis]
data_y = scaled_data * np.cos(self.spoke_data_t)[:, np.newaxis]
# update data lines
with self.loops.hold_sync():
self.loops.x = np.column_stack([data_x.T, data_x.T[:, 0]])
self.loops.y = np.column_stack([data_y.T, data_y.T[:, 0]])
if self.fill:
self.loops.fill = "inside"
self.loops.fill_opacities = [0.2] * len(self.loops.y)
else:
self.loops.fill = "none"
self.loops.fill_opacities = [0.0] * len(self.loops.y)
self.loops.labels = [str(c) for c in self.data.columns]
# update spoke labels
t = np.linspace(0, 2 * np.pi, n + 1)
with self.spoke_labels.hold_sync():
self.spoke_labels.text = [str(row) for row in rows]
self.spoke_labels.x = np.sin(t)
self.spoke_labels.y = np.cos(t)
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|
34,692 | bqplot.plotting_widgets | update_fill | null | def update_fill(self, *args):
if self.fill:
with self.loops.hold_sync():
self.loops.fill = "inside"
self.loops.fill_opacities = [0.2] * len(self.loops.y)
else:
self.loops.fill = "none"
self.loops.fill_opacities = [0.0] * len(self.loops.y)
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|
34,693 | bqplot.scales | Scale | The base scale class.
Scale objects represent a mapping between data (the domain) and a visual
quantity (The range).
Attributes
----------
scale_types: dict (class-level attribute)
A registry of existing scale types.
domain_class: type (default: Float)
traitlet type used to validate values in of the domain of the scale.
reverse: bool (default: False)
whether the scale should be reversed.
allow_padding: bool (default: True)
indicates whether figures are allowed to add data padding to this scale
or not.
precedence: int (class-level attribute)
attribute used to determine which scale takes precedence in cases when
two or more scales have the same rtype and dtype.
| class Scale(Widget):
"""The base scale class.
Scale objects represent a mapping between data (the domain) and a visual
quantity (The range).
Attributes
----------
scale_types: dict (class-level attribute)
A registry of existing scale types.
domain_class: type (default: Float)
traitlet type used to validate values in of the domain of the scale.
reverse: bool (default: False)
whether the scale should be reversed.
allow_padding: bool (default: True)
indicates whether figures are allowed to add data padding to this scale
or not.
precedence: int (class-level attribute)
attribute used to determine which scale takes precedence in cases when
two or more scales have the same rtype and dtype.
"""
scale_types = {}
precedence = 1
domain_class = Type(Float)
reverse = Bool().tag(sync=True)
allow_padding = Bool(True).tag(sync=True)
_view_name = Unicode('Scale').tag(sync=True)
_model_name = Unicode('ScaleModel').tag(sync=True)
_view_module = Unicode('bqplot').tag(sync=True)
_model_module = Unicode('bqplot').tag(sync=True)
_view_module_version = Unicode(__frontend_version__).tag(sync=True)
_model_module_version = Unicode(__frontend_version__).tag(sync=True)
_ipython_display_ = None # We cannot display a scale outside of a figure
| (*args: 't.Any', **kwargs: 't.Any') -> 't.Any' | [
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]
|
34,750 | bqplot.marks | Scatter | Scatter mark.
In the case of the Scatter mark, scales for 'x' and 'y' MUST be provided.
The scales of other data attributes are optional. In the case where another
data attribute than 'x' or 'y' is provided but the corresponding scale is
missing, the data attribute is ignored.
Attributes
----------
icon: string (class-level attribute)
Font-awesome icon for that mark
name: string (class-level attribute)
User-friendly name of the mark
marker: {'circle', 'cross', 'diamond', 'square', 'triangle-down', 'triangle-up', 'arrow', 'rectangle', 'ellipse', 'plus', 'crosshair', 'point'}
Marker shape
colors: list of colors (default: ['steelblue'])
List of colors of the markers. If the list is shorter than the number
of points, the colors are reused.
default_colors: Deprecated
Same as `colors`, deprecated as of version 0.8.4
fill: Bool (default: True)
Whether to fill the markers or not
stroke: Color or None (default: None)
Stroke color of the marker
stroke_width: Float (default: 1.5)
Stroke width of the marker
opacities: list of floats (default: [1.0])
Default opacities of the markers. If the list is shorter than
the number
of points, the opacities are reused.
default_skew: float (default: 0.5)
Default skew of the marker.
This number is validated to be between 0 and 1.
default_size: nonnegative int (default: 64)
Default marker size in pixel.
If size data is provided with a scale, default_size stands for the
maximal marker size (i.e. the maximum value for the 'size' scale range)
drag_size: nonnegative float (default: 5.)
Ratio of the size of the dragged scatter size to the default
scatter size.
names: numpy.ndarray (default: None)
Labels for the points of the chart
display_names: bool (default: True)
Controls whether names are displayed for points in the scatter
label_display_horizontal_offset: float (default: None)
Adds an offset, in pixels, to the horizontal positioning of the 'names'
label above each data point
label_display_vertical_offset: float (default: None)
Adds an offset, in pixels, to the vertical positioning of the 'names'
label above each data point
enable_move: bool (default: False)
Controls whether points can be moved by dragging. Refer to restrict_x,
restrict_y for more options.
restrict_x: bool (default: False)
Restricts movement of the point to only along the x axis. This is valid
only when enable_move is set to True. If both restrict_x and restrict_y
are set to True, the point cannot be moved.
restrict_y: bool (default: False)
Restricts movement of the point to only along the y axis. This is valid
only when enable_move is set to True. If both restrict_x and restrict_y
are set to True, the point cannot be moved.
Data Attributes
x: numpy.ndarray (default: [])
abscissas of the data points (1d array)
y: numpy.ndarray (default: [])
ordinates of the data points (1d array)
color: numpy.ndarray or None (default: None)
color of the data points (1d array). Defaults to default_color when not
provided or when a value is NaN
opacity: numpy.ndarray or None (default: None)
opacity of the data points (1d array). Defaults to default_opacity when
not provided or when a value is NaN
size: numpy.ndarray or None (default: None)
size of the data points. Defaults to default_size when not provided or
when a value is NaN
skew: numpy.ndarray or None (default: None)
skewness of the markers representing the data points. Defaults to
default_skew when not provided or when a value is NaN
rotation: numpy.ndarray or None (default: None)
orientation of the markers representing the data points.
The rotation scale's range is [0, 180]
Defaults to 0 when not provided or when a value is NaN.
Notes
-----
The fields which can be passed to the default tooltip are:
All the data attributes
index: index of the marker being hovered on
The following are the events which can trigger interactions:
click: left click of the mouse
hover: mouse-over an element
The following are the interactions which can be linked to the above events:
tooltip: display tooltip
add: add new points to the scatter (can only linked to click)
| class Scatter(_ScatterBase):
"""Scatter mark.
In the case of the Scatter mark, scales for 'x' and 'y' MUST be provided.
The scales of other data attributes are optional. In the case where another
data attribute than 'x' or 'y' is provided but the corresponding scale is
missing, the data attribute is ignored.
Attributes
----------
icon: string (class-level attribute)
Font-awesome icon for that mark
name: string (class-level attribute)
User-friendly name of the mark
marker: {'circle', 'cross', 'diamond', 'square', 'triangle-down', 'triangle-up', 'arrow', 'rectangle', 'ellipse', 'plus', 'crosshair', 'point'}
Marker shape
colors: list of colors (default: ['steelblue'])
List of colors of the markers. If the list is shorter than the number
of points, the colors are reused.
default_colors: Deprecated
Same as `colors`, deprecated as of version 0.8.4
fill: Bool (default: True)
Whether to fill the markers or not
stroke: Color or None (default: None)
Stroke color of the marker
stroke_width: Float (default: 1.5)
Stroke width of the marker
opacities: list of floats (default: [1.0])
Default opacities of the markers. If the list is shorter than
the number
of points, the opacities are reused.
default_skew: float (default: 0.5)
Default skew of the marker.
This number is validated to be between 0 and 1.
default_size: nonnegative int (default: 64)
Default marker size in pixel.
If size data is provided with a scale, default_size stands for the
maximal marker size (i.e. the maximum value for the 'size' scale range)
drag_size: nonnegative float (default: 5.)
Ratio of the size of the dragged scatter size to the default
scatter size.
names: numpy.ndarray (default: None)
Labels for the points of the chart
display_names: bool (default: True)
Controls whether names are displayed for points in the scatter
label_display_horizontal_offset: float (default: None)
Adds an offset, in pixels, to the horizontal positioning of the 'names'
label above each data point
label_display_vertical_offset: float (default: None)
Adds an offset, in pixels, to the vertical positioning of the 'names'
label above each data point
enable_move: bool (default: False)
Controls whether points can be moved by dragging. Refer to restrict_x,
restrict_y for more options.
restrict_x: bool (default: False)
Restricts movement of the point to only along the x axis. This is valid
only when enable_move is set to True. If both restrict_x and restrict_y
are set to True, the point cannot be moved.
restrict_y: bool (default: False)
Restricts movement of the point to only along the y axis. This is valid
only when enable_move is set to True. If both restrict_x and restrict_y
are set to True, the point cannot be moved.
Data Attributes
x: numpy.ndarray (default: [])
abscissas of the data points (1d array)
y: numpy.ndarray (default: [])
ordinates of the data points (1d array)
color: numpy.ndarray or None (default: None)
color of the data points (1d array). Defaults to default_color when not
provided or when a value is NaN
opacity: numpy.ndarray or None (default: None)
opacity of the data points (1d array). Defaults to default_opacity when
not provided or when a value is NaN
size: numpy.ndarray or None (default: None)
size of the data points. Defaults to default_size when not provided or
when a value is NaN
skew: numpy.ndarray or None (default: None)
skewness of the markers representing the data points. Defaults to
default_skew when not provided or when a value is NaN
rotation: numpy.ndarray or None (default: None)
orientation of the markers representing the data points.
The rotation scale's range is [0, 180]
Defaults to 0 when not provided or when a value is NaN.
Notes
-----
The fields which can be passed to the default tooltip are:
All the data attributes
index: index of the marker being hovered on
The following are the events which can trigger interactions:
click: left click of the mouse
hover: mouse-over an element
The following are the interactions which can be linked to the above events:
tooltip: display tooltip
add: add new points to the scatter (can only linked to click)
"""
# Mark decoration
icon = 'fa-cloud'
name = 'Scatter'
# Scaled attributes
skew = Array(None, allow_none=True).tag(sync=True, scaled=True,
rtype='Number',
**array_serialization)\
.valid(array_squeeze, array_dimension_bounds(1, 1))
# Other attributes
marker = Enum(['circle', 'cross', 'diamond', 'square', 'triangle-down',
'triangle-up', 'arrow', 'rectangle', 'ellipse', 'plus',
'crosshair', 'point'],
default_value='circle').tag(sync=True, display_name='Marker')
colors = List(trait=Color(default_value=None, allow_none=True),
default_value=['steelblue'])\
.tag(sync=True, display_name='Colors')
scales_metadata = Dict({
'x': {'orientation': 'horizontal', 'dimension': 'x'},
'y': {'orientation': 'vertical', 'dimension': 'y'},
'color': {'dimension': 'color'},
'size': {'dimension': 'size'},
'opacity': {'dimension': 'opacity'},
'rotation': {'dimension': 'rotation'},
'skew': {'dimension': 'skew'}
}).tag(sync=True)
@property
def default_colors(self):
return self.colors
@default_colors.setter
def default_colors(self, value):
warn("default_colors is deprecated, use colors instead.",
DeprecationWarning)
self.colors = value
@property
def default_opacities(self):
return self.opacities
@default_opacities.setter
def default_opacities(self, value):
warn("default_opacities is deprecated, use opacities instead.",
DeprecationWarning)
self.opacities = value
stroke = Color(None, allow_none=True).tag(sync=True,
display_name='Stroke color')
stroke_width = Float(1.5).tag(sync=True, display_name='Stroke width')
default_skew = Float(0.5, min=0, max=1).tag(sync=True)
default_size = Int(64).tag(sync=True, display_name='Default size')
names = Array(None, allow_none=True)\
.tag(sync=True, **array_serialization).valid(array_squeeze)
display_names = Bool(True).tag(sync=True, display_name='Display names')
label_display_horizontal_offset = Float(allow_none=True).tag(sync=True)
label_display_vertical_offset = Float(allow_none=True).tag(sync=True)
fill = Bool(True).tag(sync=True)
drag_color = Color(None, allow_none=True).tag(sync=True)
drag_size = Float(5.).tag(sync=True)
names_unique = Bool(True).tag(sync=True)
_view_name = Unicode('Scatter').tag(sync=True)
_model_name = Unicode('ScatterModel').tag(sync=True)
| (*args: 't.Any', **kwargs: 't.Any') -> 't.Any' | [
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|
34,818 | bqplot.marks | ScatterGL | null | class ScatterGL(Scatter):
_view_name = Unicode('ScatterGL').tag(sync=True)
_model_name = Unicode('ScatterGLModel').tag(sync=True)
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|
34,886 | bqplot.scales | Stereographic | A perspective projection that uses a bijective and smooth map at every
point except the projection point.
The projection is not an equal-area projection but it is conformal.
Attributes
----------
scale_factor: float (default: 250)
Specifies the scale value for the projection
rotate: tuple (default: (96, 0))
Degree of rotation in each axis.
center: tuple (default: (0, 60))
Specifies the longitude and latitude where the map is centered.
precision: float (default: 0.1)
Specifies the threshold for the projections adaptive resampling to the
specified value in pixels.
clip_angle: float (default: 90.)
Specifies the clipping circle radius to the specified angle in degrees.
| class Stereographic(GeoScale):
"""A perspective projection that uses a bijective and smooth map at every
point except the projection point.
The projection is not an equal-area projection but it is conformal.
Attributes
----------
scale_factor: float (default: 250)
Specifies the scale value for the projection
rotate: tuple (default: (96, 0))
Degree of rotation in each axis.
center: tuple (default: (0, 60))
Specifies the longitude and latitude where the map is centered.
precision: float (default: 0.1)
Specifies the threshold for the projections adaptive resampling to the
specified value in pixels.
clip_angle: float (default: 90.)
Specifies the clipping circle radius to the specified angle in degrees.
"""
scale_factor = Float(145.0).tag(sync=True)
center = Tuple((0, 60)).tag(sync=True)
precision = Float(0.1).tag(sync=True)
rotate = Tuple((96, 0)).tag(sync=True)
clip_angle = Float(179.9999, min=0.0, max=360.0).tag(sync=True)
rtype = '(Number, Number)'
dtype = np.number
_view_name = Unicode('Stereographic').tag(sync=True)
_model_name = Unicode('StereographicModel').tag(sync=True)
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|
34,943 | bqplot.toolbar | Toolbar | Default toolbar for bqplot figures.
The default toolbar provides three buttons:
- A *Panzoom* toggle button which enables panning and zooming the figure.
- A *Save* button to save the figure as a png image.
- A *Reset* button, which resets the figure position to its original
state.
When the *Panzoom* button is toggled to True for the first time, a new
instance of ``PanZoom`` widget is created.
The created ``PanZoom`` widget uses the scales of all the marks that are on
the figure at this point.
When the *PanZoom* widget is toggled to False, the figure retrieves its
previous interaction.
When the *Reset* button is pressed, the ``PanZoom`` widget is deleted and
the figure scales reset to their initial state. We are back to the case
where the PanZoom widget has never been set.
If new marks are added to the figure after the panzoom button is toggled,
and these use new scales, those scales will not be panned or zoomed,
unless the reset button is clicked.
Attributes
----------
figure: instance of Figure
The figure to which the toolbar will apply.
| class Toolbar(DOMWidget):
"""Default toolbar for bqplot figures.
The default toolbar provides three buttons:
- A *Panzoom* toggle button which enables panning and zooming the figure.
- A *Save* button to save the figure as a png image.
- A *Reset* button, which resets the figure position to its original
state.
When the *Panzoom* button is toggled to True for the first time, a new
instance of ``PanZoom`` widget is created.
The created ``PanZoom`` widget uses the scales of all the marks that are on
the figure at this point.
When the *PanZoom* widget is toggled to False, the figure retrieves its
previous interaction.
When the *Reset* button is pressed, the ``PanZoom`` widget is deleted and
the figure scales reset to their initial state. We are back to the case
where the PanZoom widget has never been set.
If new marks are added to the figure after the panzoom button is toggled,
and these use new scales, those scales will not be panned or zoomed,
unless the reset button is clicked.
Attributes
----------
figure: instance of Figure
The figure to which the toolbar will apply.
"""
figure = Instance(Figure).tag(sync=True, **widget_serialization)
_panning = Bool(read_only=True).tag(sync=True)
_panzoom = Instance(PanZoom, default_value=None, allow_none=True,
read_only=True).tag(sync=True, **widget_serialization)
_view_name = Unicode('Toolbar').tag(sync=True)
_model_name = Unicode('ToolbarModel').tag(sync=True)
_view_module = Unicode('bqplot').tag(sync=True)
_model_module = Unicode('bqplot').tag(sync=True)
_view_module_version = Unicode(__frontend_version__).tag(sync=True)
_model_module_version = Unicode(__frontend_version__).tag(sync=True)
| (*args: 't.Any', **kwargs: 't.Any') -> 't.Any' | [
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|
35,004 | bqplot.default_tooltip | Tooltip | Default tooltip widget for marks.
Attributes
----------
fields: list (default: [])
list of names of fields to be displayed in the tooltip
All the attributes of the mark are accessible in the tooltip
formats: list (default: [])
list of formats to be applied to each of the fields.
if no format is specified for a field, the value is displayed as it is
labels: list (default: [])
list of labels to be displayed in the table instead of the fields. If
the length of labels is less than the length of fields, then the field
names are displayed for those fields for which label is missing.
show_labels: bool (default: True)
Boolean attribute to enable and disable display of the
label /field name
as the first column along with the value
| class Tooltip(DOMWidget):
"""Default tooltip widget for marks.
Attributes
----------
fields: list (default: [])
list of names of fields to be displayed in the tooltip
All the attributes of the mark are accessible in the tooltip
formats: list (default: [])
list of formats to be applied to each of the fields.
if no format is specified for a field, the value is displayed as it is
labels: list (default: [])
list of labels to be displayed in the table instead of the fields. If
the length of labels is less than the length of fields, then the field
names are displayed for those fields for which label is missing.
show_labels: bool (default: True)
Boolean attribute to enable and disable display of the
label /field name
as the first column along with the value
"""
fields = List().tag(sync=True)
formats = List().tag(sync=True)
show_labels = Bool(True).tag(sync=True)
labels = List().tag(sync=True)
_view_name = Unicode('Tooltip').tag(sync=True)
_model_name = Unicode('TooltipModel').tag(sync=True)
_view_module = Unicode('bqplot').tag(sync=True)
_model_module = Unicode('bqplot').tag(sync=True)
_view_module_version = Unicode(__frontend_version__).tag(sync=True)
_model_module_version = Unicode(__frontend_version__).tag(sync=True)
| (*args: 't.Any', **kwargs: 't.Any') -> 't.Any' | [
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|
35,095 | traitlets.traitlets | Type | A trait whose value must be a subclass of a specified class. | class Type(ClassBasedTraitType[G, S]):
"""A trait whose value must be a subclass of a specified class."""
if t.TYPE_CHECKING:
@t.overload
def __init__(
self: Type[type, type],
default_value: Sentinel | None | str = ...,
klass: None | str = ...,
allow_none: Literal[False] = ...,
read_only: bool | None = ...,
help: str | None = ...,
config: t.Any | None = ...,
**kwargs: t.Any,
) -> None:
...
@t.overload
def __init__(
self: Type[type | None, type | None],
default_value: Sentinel | None | str = ...,
klass: None | str = ...,
allow_none: Literal[True] = ...,
read_only: bool | None = ...,
help: str | None = ...,
config: t.Any | None = ...,
**kwargs: t.Any,
) -> None:
...
@t.overload
def __init__(
self: Type[S, S],
default_value: S = ...,
klass: S = ...,
allow_none: Literal[False] = ...,
read_only: bool | None = ...,
help: str | None = ...,
config: t.Any | None = ...,
**kwargs: t.Any,
) -> None:
...
@t.overload
def __init__(
self: Type[S | None, S | None],
default_value: S | None = ...,
klass: S = ...,
allow_none: Literal[True] = ...,
read_only: bool | None = ...,
help: str | None = ...,
config: t.Any | None = ...,
**kwargs: t.Any,
) -> None:
...
def __init__(
self,
default_value: t.Any = Undefined,
klass: t.Any = None,
allow_none: bool = False,
read_only: bool | None = None,
help: str | None = None,
config: t.Any | None = None,
**kwargs: t.Any,
) -> None:
"""Construct a Type trait
A Type trait specifies that its values must be subclasses of
a particular class.
If only ``default_value`` is given, it is used for the ``klass`` as
well. If neither are given, both default to ``object``.
Parameters
----------
default_value : class, str or None
The default value must be a subclass of klass. If an str,
the str must be a fully specified class name, like 'foo.bar.Bah'.
The string is resolved into real class, when the parent
:class:`HasTraits` class is instantiated.
klass : class, str [ default object ]
Values of this trait must be a subclass of klass. The klass
may be specified in a string like: 'foo.bar.MyClass'.
The string is resolved into real class, when the parent
:class:`HasTraits` class is instantiated.
allow_none : bool [ default False ]
Indicates whether None is allowed as an assignable value.
**kwargs
extra kwargs passed to `ClassBasedTraitType`
"""
if default_value is Undefined:
new_default_value = object if (klass is None) else klass
else:
new_default_value = default_value
if klass is None:
if (default_value is None) or (default_value is Undefined):
klass = object
else:
klass = default_value
if not (inspect.isclass(klass) or isinstance(klass, str)):
raise TraitError("A Type trait must specify a class.")
self.klass = klass
super().__init__(
new_default_value,
allow_none=allow_none,
read_only=read_only,
help=help,
config=config,
**kwargs,
)
def validate(self, obj: t.Any, value: t.Any) -> G:
"""Validates that the value is a valid object instance."""
if isinstance(value, str):
try:
value = self._resolve_string(value)
except ImportError as e:
raise TraitError(
f"The '{self.name}' trait of {obj} instance must be a type, but "
f"{value!r} could not be imported"
) from e
try:
if issubclass(value, self.klass): # type:ignore[arg-type]
return t.cast(G, value)
except Exception:
pass
self.error(obj, value)
def info(self) -> str:
"""Returns a description of the trait."""
if isinstance(self.klass, str):
klass = self.klass
else:
klass = self.klass.__module__ + "." + self.klass.__name__
result = "a subclass of '%s'" % klass
if self.allow_none:
return result + " or None"
return result
def instance_init(self, obj: t.Any) -> None:
# we can't do this in subclass_init because that
# might be called before all imports are done.
self._resolve_classes()
def _resolve_classes(self) -> None:
if isinstance(self.klass, str):
self.klass = self._resolve_string(self.klass)
if isinstance(self.default_value, str):
self.default_value = self._resolve_string(self.default_value)
def default_value_repr(self) -> str:
value = self.default_value
assert value is not None
if isinstance(value, str):
return repr(value)
else:
return repr(f"{value.__module__}.{value.__name__}")
| (default_value: Any = traitlets.Undefined, klass: 't.Any' = None, allow_none: bool = False, read_only: bool = None, help: 'str | None' = None, config: 't.Any | None' = None, **kwargs: 't.Any') -> 'None' | [
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|
35,097 | traitlets.traitlets | __init__ | Construct a Type trait
A Type trait specifies that its values must be subclasses of
a particular class.
If only ``default_value`` is given, it is used for the ``klass`` as
well. If neither are given, both default to ``object``.
Parameters
----------
default_value : class, str or None
The default value must be a subclass of klass. If an str,
the str must be a fully specified class name, like 'foo.bar.Bah'.
The string is resolved into real class, when the parent
:class:`HasTraits` class is instantiated.
klass : class, str [ default object ]
Values of this trait must be a subclass of klass. The klass
may be specified in a string like: 'foo.bar.MyClass'.
The string is resolved into real class, when the parent
:class:`HasTraits` class is instantiated.
allow_none : bool [ default False ]
Indicates whether None is allowed as an assignable value.
**kwargs
extra kwargs passed to `ClassBasedTraitType`
| def __init__(
self,
default_value: t.Any = Undefined,
klass: t.Any = None,
allow_none: bool = False,
read_only: bool | None = None,
help: str | None = None,
config: t.Any | None = None,
**kwargs: t.Any,
) -> None:
"""Construct a Type trait
A Type trait specifies that its values must be subclasses of
a particular class.
If only ``default_value`` is given, it is used for the ``klass`` as
well. If neither are given, both default to ``object``.
Parameters
----------
default_value : class, str or None
The default value must be a subclass of klass. If an str,
the str must be a fully specified class name, like 'foo.bar.Bah'.
The string is resolved into real class, when the parent
:class:`HasTraits` class is instantiated.
klass : class, str [ default object ]
Values of this trait must be a subclass of klass. The klass
may be specified in a string like: 'foo.bar.MyClass'.
The string is resolved into real class, when the parent
:class:`HasTraits` class is instantiated.
allow_none : bool [ default False ]
Indicates whether None is allowed as an assignable value.
**kwargs
extra kwargs passed to `ClassBasedTraitType`
"""
if default_value is Undefined:
new_default_value = object if (klass is None) else klass
else:
new_default_value = default_value
if klass is None:
if (default_value is None) or (default_value is Undefined):
klass = object
else:
klass = default_value
if not (inspect.isclass(klass) or isinstance(klass, str)):
raise TraitError("A Type trait must specify a class.")
self.klass = klass
super().__init__(
new_default_value,
allow_none=allow_none,
read_only=read_only,
help=help,
config=config,
**kwargs,
)
| (self, default_value: Any = traitlets.Undefined, klass: Optional[Any] = None, allow_none: bool = False, read_only: Optional[bool] = None, help: Optional[str] = None, config: Optional[Any] = None, **kwargs: Any) -> NoneType | [
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|
35,101 | traitlets.traitlets | _resolve_classes | null | def _resolve_classes(self) -> None:
if isinstance(self.klass, str):
self.klass = self._resolve_string(self.klass)
if isinstance(self.default_value, str):
self.default_value = self._resolve_string(self.default_value)
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|
35,106 | traitlets.traitlets | default_value_repr | null | def default_value_repr(self) -> str:
value = self.default_value
assert value is not None
if isinstance(value, str):
return repr(value)
else:
return repr(f"{value.__module__}.{value.__name__}")
| (self) -> str | [
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|
35,112 | traitlets.traitlets | info | Returns a description of the trait. | def info(self) -> str:
"""Returns a description of the trait."""
if isinstance(self.klass, str):
klass = self.klass
else:
klass = self.klass.__module__ + "." + self.klass.__name__
result = "a subclass of '%s'" % klass
if self.allow_none:
return result + " or None"
return result
| (self) -> str | [
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|
35,119 | traitlets.traitlets | validate | Validates that the value is a valid object instance. | def validate(self, obj: t.Any, value: t.Any) -> G:
"""Validates that the value is a valid object instance."""
if isinstance(value, str):
try:
value = self._resolve_string(value)
except ImportError as e:
raise TraitError(
f"The '{self.name}' trait of {obj} instance must be a type, but "
f"{value!r} could not be imported"
) from e
try:
if issubclass(value, self.klass): # type:ignore[arg-type]
return t.cast(G, value)
except Exception:
pass
self.error(obj, value)
| (self, obj: Any, value: Any) -> ~G | [
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|
35,200 | bqplot | _jupyter_labextension_paths | null | def _jupyter_labextension_paths():
return [{
'src': f'{_prefix()}/share/jupyter/labextensions/bqplot/',
'dest': 'bqplot',
}]
| () | [
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|
35,201 | bqplot | _jupyter_nbextension_paths | null | def _jupyter_nbextension_paths():
return [{
'section': 'notebook',
'src': f'{_prefix()}/share/jupyter/nbextensions/bqplot/',
'dest': 'bqplot',
'require': 'bqplot/extension'
}]
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|
35,202 | bqplot | _prefix | null | def _prefix():
import sys
from pathlib import Path
prefix = sys.prefix
here = Path(__file__).parent
# for when in dev mode
if (here.parent / 'share/jupyter/nbextensions/bqplot').parent.exists():
prefix = here.parent
return prefix
| () | [
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|
35,204 | bqplot.traits | array_dimension_bounds | null | def array_dimension_bounds(mindim=0, maxdim=np.inf):
def validator(trait, value):
dim = len(value.shape)
if dim < mindim or dim > maxdim:
raise TraitError('Dimension mismatch for trait %s of class %s: expected an \
array of dimension comprised in interval [%s, %s] and got an array of shape %s' % (
trait.name, trait.this_class, mindim, maxdim, value.shape))
return value
return validator
| (mindim=0, maxdim=inf) | [
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|
35,205 | bqplot.traits | array_squeeze | null | def array_squeeze(trait, value):
if len(value.shape) > 1:
return np.squeeze(value)
else:
return value
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|
35,206 | bqplot.traits | array_supported_kinds | null | def array_supported_kinds(kinds='biufMSUO'):
def validator(trait, value):
if value.dtype.kind not in kinds:
raise TraitError('Array type not supported for trait %s of class %s: expected a \
array of kind in list %r and got an array of type %s (kind %s)' % (
trait.name, trait.this_class, list(kinds), value.dtype, value.dtype.kind))
return value
return validator
| (kinds='biufMSUO') | [
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|
35,218 | ipywidgets.widgets.widget | register | A decorator registering a widget class in the widget registry. | def register(widget):
"""A decorator registering a widget class in the widget registry."""
w = widget.class_traits()
_registry.register(w['_model_module'].default_value,
w['_model_module_version'].default_value,
w['_model_name'].default_value,
w['_view_module'].default_value,
w['_view_module_version'].default_value,
w['_view_name'].default_value,
widget)
return widget
| (widget) | [
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|
35,219 | bqplot.axes | register_axis | Returns a decorator registering an axis class in the axis type registry.
If no key is provided, the class name is used as a key. A key is provided
for each core bqplot axis so that the frontend can use this key regardless
of the kernel language.
| def register_axis(key=None):
"""Returns a decorator registering an axis class in the axis type registry.
If no key is provided, the class name is used as a key. A key is provided
for each core bqplot axis so that the frontend can use this key regardless
of the kernel language.
"""
def wrap(axis):
name = key if key is not None else axis.__module__ + axis.__name__
BaseAxis.axis_types[name] = axis
return axis
return wrap
| (key=None) | [
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|
35,220 | bqplot.marks | register_mark | Returns a decorator registering a mark class in the mark type registry.
If no key is provided, the class name is used as a key. A key is provided
for each core bqplot mark so that the frontend can use
this key regardless of the kernel language.
| def register_mark(key=None):
"""Returns a decorator registering a mark class in the mark type registry.
If no key is provided, the class name is used as a key. A key is provided
for each core bqplot mark so that the frontend can use
this key regardless of the kernel language.
"""
def wrap(mark):
name = key if key is not None else mark.__module__ + mark.__name__
Mark.mark_types[name] = mark
return mark
return wrap
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|
35,221 | bqplot.scales | register_scale | Returns a decorator to register a scale type in the scale type
registry.
If no key is provided, the class name is used as a key. A key is
provided for each core bqplot scale type so that the frontend can use
this key regardless of the kernel language.
| def register_scale(key=None):
"""Returns a decorator to register a scale type in the scale type
registry.
If no key is provided, the class name is used as a key. A key is
provided for each core bqplot scale type so that the frontend can use
this key regardless of the kernel language.
"""
def wrap(scale):
label = key if key is not None else scale.__module__ + scale.__name__
Scale.scale_types[label] = scale
return scale
return wrap
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|
35,223 | bqplot.marks | shape | null | def shape(*dimensions):
def validator(trait, value):
err_msg_tmpl = 'Expected an array of shape {} ' + \
'but got an array of shape {}'
if value.shape != dimensions:
raise TraitError(err_msg_tmpl.format(dimensions, value.shape))
else:
return value
return validator
| (*dimensions) | [
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|
35,225 | bqplot.marks | topo_load | null | def topo_load(name):
with open(os.path.join(os.path.split(os.path.realpath(__file__))[0],
name)) as data_file:
data = json.load(data_file)
return data
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|
35,229 | distro_info | DebianDistroInfo | provides information about Debian's distributions | class DebianDistroInfo(DistroInfo):
"""provides information about Debian's distributions"""
def __init__(self):
super().__init__("Debian")
def codename(self, release, date=None, default=None):
"""Map 'unstable', 'testing', etc. to their codenames."""
if release == "unstable":
codename = self.devel(date)
elif release == "testing":
codename = self.testing(date)
elif release == "stable":
codename = self.stable(date)
elif release == "oldstable":
codename = self.old(date)
else:
codename = default
return codename
def devel(self, date=None, result="codename"):
"""Get latest development distribution based on the given date."""
if date is None:
date = self._date
distros = [
x
for x in self._avail(date)
if x.release is None or (date < x.release and (x.eol is None or date <= x.eol))
]
if len(distros) < 2:
raise DistroDataOutdated()
return self._format(result, distros[-2])
def old(self, date=None, result="codename"):
"""Get old (stable) Debian distribution based on the given date."""
if date is None:
date = self._date
distros = [x for x in self._avail(date) if x.release is not None and date >= x.release]
if len(distros) < 2:
raise DistroDataOutdated()
return self._format(result, distros[-2])
def supported(self, date=None, result="codename"):
"""Get list of all supported Debian distributions based on the given
date."""
if date is None:
date = self._date
distros = [
self._format(result, x) for x in self._avail(date) if x.eol is None or date <= x.eol
]
return distros
def lts_supported(self, date=None, result="codename"):
"""Get list of all LTS supported Debian distributions based on the given
date."""
if date is None:
date = self._date
distros = [
self._format(result, x)
for x in self._avail(date)
if (x.eol is not None and date > x.eol)
and (x.eol_lts is not None and date <= x.eol_lts)
]
return distros
def elts_supported(self, date=None, result="codename"):
"""Get list of all Extended LTS supported Debian distributions based on
the given date."""
if date is None:
date = self._date
distros = [
self._format(result, x)
for x in self._avail(date)
if (x.eol_lts is not None and date > x.eol_lts)
and (x.eol_elts is not None and date <= x.eol_elts)
]
return distros
def testing(self, date=None, result="codename"):
"""Get latest testing Debian distribution based on the given date."""
if date is None:
date = self._date
distros = [
x
for x in self._avail(date)
if (x.release is None and x.version)
or (x.release is not None and date < x.release and (x.eol is None or date <= x.eol))
]
if not distros:
raise DistroDataOutdated()
return self._format(result, distros[-1])
def valid(self, codename):
"""Check if the given codename is known."""
return DistroInfo.valid(self, codename) or codename in [
"unstable",
"testing",
"stable",
"oldstable",
]
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|
35,230 | distro_info | __init__ | null | def __init__(self):
super().__init__("Debian")
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|
35,231 | distro_info | _avail | Return all distributions that were available on the given date. | def _avail(self, date):
"""Return all distributions that were available on the given date."""
return [x for x in self._releases if date >= x.created]
| (self, date) | [
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|
35,232 | distro_info | _format | Format a given distribution entry. | def _format(self, format_string, release):
"""Format a given distribution entry."""
if format_string == "object":
return release
if format_string == "codename":
return release.series
if format_string == "fullname":
return self._distro + " " + release.version + ' "' + release.codename + '"'
if format_string == "release":
return release.version
raise ValueError(
"Only codename, fullname, object, and release are allowed "
"result values, but not '" + format_string + "'."
)
| (self, format_string, release) | [
0.05767925828695297,
0.029801523312926292,
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0.05166742578148842,
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|
35,233 | distro_info | codename | Map 'unstable', 'testing', etc. to their codenames. | def codename(self, release, date=None, default=None):
"""Map 'unstable', 'testing', etc. to their codenames."""
if release == "unstable":
codename = self.devel(date)
elif release == "testing":
codename = self.testing(date)
elif release == "stable":
codename = self.stable(date)
elif release == "oldstable":
codename = self.old(date)
else:
codename = default
return codename
| (self, release, date=None, default=None) | [
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|
35,234 | distro_info | devel | Get latest development distribution based on the given date. | def devel(self, date=None, result="codename"):
"""Get latest development distribution based on the given date."""
if date is None:
date = self._date
distros = [
x
for x in self._avail(date)
if x.release is None or (date < x.release and (x.eol is None or date <= x.eol))
]
if len(distros) < 2:
raise DistroDataOutdated()
return self._format(result, distros[-2])
| (self, date=None, result='codename') | [
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|
35,235 | distro_info | elts_supported | Get list of all Extended LTS supported Debian distributions based on
the given date. | def elts_supported(self, date=None, result="codename"):
"""Get list of all Extended LTS supported Debian distributions based on
the given date."""
if date is None:
date = self._date
distros = [
self._format(result, x)
for x in self._avail(date)
if (x.eol_lts is not None and date > x.eol_lts)
and (x.eol_elts is not None and date <= x.eol_elts)
]
return distros
| (self, date=None, result='codename') | [
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|
35,236 | distro_info | get_all | List all known distributions. | def get_all(self, result="codename"):
"""List all known distributions."""
return [self._format(result, x) for x in self._releases]
| (self, result='codename') | [
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|
35,237 | distro_info | lts_supported | Get list of all LTS supported Debian distributions based on the given
date. | def lts_supported(self, date=None, result="codename"):
"""Get list of all LTS supported Debian distributions based on the given
date."""
if date is None:
date = self._date
distros = [
self._format(result, x)
for x in self._avail(date)
if (x.eol is not None and date > x.eol)
and (x.eol_lts is not None and date <= x.eol_lts)
]
return distros
| (self, date=None, result='codename') | [
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|
35,238 | distro_info | old | Get old (stable) Debian distribution based on the given date. | def old(self, date=None, result="codename"):
"""Get old (stable) Debian distribution based on the given date."""
if date is None:
date = self._date
distros = [x for x in self._avail(date) if x.release is not None and date >= x.release]
if len(distros) < 2:
raise DistroDataOutdated()
return self._format(result, distros[-2])
| (self, date=None, result='codename') | [
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|
35,239 | distro_info | stable | Get latest stable distribution based on the given date. | def stable(self, date=None, result="codename"):
"""Get latest stable distribution based on the given date."""
if date is None:
date = self._date
distros = [
x
for x in self._avail(date)
if x.release is not None and date >= x.release and (x.eol is None or date <= x.eol)
]
if not distros:
raise DistroDataOutdated()
return self._format(result, distros[-1])
| (self, date=None, result='codename') | [
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|
35,240 | distro_info | supported | Get list of all supported Debian distributions based on the given
date. | def supported(self, date=None, result="codename"):
"""Get list of all supported Debian distributions based on the given
date."""
if date is None:
date = self._date
distros = [
self._format(result, x) for x in self._avail(date) if x.eol is None or date <= x.eol
]
return distros
| (self, date=None, result='codename') | [
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-0.026371905580163002
]
|
35,241 | distro_info | testing | Get latest testing Debian distribution based on the given date. | def testing(self, date=None, result="codename"):
"""Get latest testing Debian distribution based on the given date."""
if date is None:
date = self._date
distros = [
x
for x in self._avail(date)
if (x.release is None and x.version)
or (x.release is not None and date < x.release and (x.eol is None or date <= x.eol))
]
if not distros:
raise DistroDataOutdated()
return self._format(result, distros[-1])
| (self, date=None, result='codename') | [
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|
35,242 | distro_info | unsupported | Get list of all unsupported distributions based on the given date. | def unsupported(self, date=None, result="codename"):
"""Get list of all unsupported distributions based on the given date."""
if date is None:
date = self._date
supported = self.supported(date)
distros = [self._format(result, x) for x in self._avail(date) if x.series not in supported]
return distros
| (self, date=None, result='codename') | [
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|
35,243 | distro_info | valid | Check if the given codename is known. | def valid(self, codename):
"""Check if the given codename is known."""
return DistroInfo.valid(self, codename) or codename in [
"unstable",
"testing",
"stable",
"oldstable",
]
| (self, codename) | [
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|
35,244 | distro_info | version | Map codename or series to version | def version(self, name, default=None):
"""Map codename or series to version"""
for release in self._releases:
if name in (release.codename, release.series):
return release.version
return default
| (self, name, default=None) | [
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|
35,245 | distro_info | DistroDataOutdated | Distribution data outdated. | class DistroDataOutdated(Exception):
"""Distribution data outdated."""
def __init__(self):
super().__init__(
"Distribution data outdated. Please check for an update for distro-info-data. "
"See /usr/share/doc/distro-info-data/README.Debian for details."
)
| () | [
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|
35,246 | distro_info | __init__ | null | def __init__(self):
super().__init__(
"Distribution data outdated. Please check for an update for distro-info-data. "
"See /usr/share/doc/distro-info-data/README.Debian for details."
)
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]
|
35,247 | distro_info | DistroInfo | Base class for distribution information.
Use DebianDistroInfo or UbuntuDistroInfo instead of using this directly.
| class DistroInfo(object):
"""Base class for distribution information.
Use DebianDistroInfo or UbuntuDistroInfo instead of using this directly.
"""
def __init__(self, distro):
self._distro = distro
filename = os.path.join(_get_data_dir(), distro.lower() + ".csv")
csvfile = open(filename)
csv_reader = csv.DictReader(csvfile)
self._releases = []
for row in csv_reader:
release = DistroRelease(
row["version"],
row["codename"],
row["series"],
_get_date(row, "created"),
_get_date(row, "release"),
_get_date(row, "eol"),
_get_date(row, "eol-esm"),
_get_date(row, "eol-lts"),
_get_date(row, "eol-elts"),
_get_date(row, "eol-server"),
)
self._releases.append(release)
csvfile.close()
self._date = datetime.date.today()
@property
def all(self):
"""List codenames of all known distributions."""
return [x.series for x in self._releases]
def get_all(self, result="codename"):
"""List all known distributions."""
return [self._format(result, x) for x in self._releases]
def _avail(self, date):
"""Return all distributions that were available on the given date."""
return [x for x in self._releases if date >= x.created]
def codename(self, release, date=None, default=None):
"""Map codename aliases to the codename they describe."""
# pylint: disable=no-self-use,unused-argument
return release
def version(self, name, default=None):
"""Map codename or series to version"""
for release in self._releases:
if name in (release.codename, release.series):
return release.version
return default
def devel(self, date=None, result="codename"):
"""Get latest development distribution based on the given date."""
if date is None:
date = self._date
distros = [
x
for x in self._avail(date)
if x.release is None or (date < x.release and (x.eol is None or date <= x.eol))
]
if not distros:
raise DistroDataOutdated()
return self._format(result, distros[-1])
def _format(self, format_string, release):
"""Format a given distribution entry."""
if format_string == "object":
return release
if format_string == "codename":
return release.series
if format_string == "fullname":
return self._distro + " " + release.version + ' "' + release.codename + '"'
if format_string == "release":
return release.version
raise ValueError(
"Only codename, fullname, object, and release are allowed "
"result values, but not '" + format_string + "'."
)
def stable(self, date=None, result="codename"):
"""Get latest stable distribution based on the given date."""
if date is None:
date = self._date
distros = [
x
for x in self._avail(date)
if x.release is not None and date >= x.release and (x.eol is None or date <= x.eol)
]
if not distros:
raise DistroDataOutdated()
return self._format(result, distros[-1])
def supported(self, date=None, result=None):
"""Get list of all supported distributions based on the given date."""
raise NotImplementedError()
def valid(self, codename):
"""Check if the given codename is known."""
return codename in self.all
def unsupported(self, date=None, result="codename"):
"""Get list of all unsupported distributions based on the given date."""
if date is None:
date = self._date
supported = self.supported(date)
distros = [self._format(result, x) for x in self._avail(date) if x.series not in supported]
return distros
| (distro) | [
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|
35,248 | distro_info | __init__ | null | def __init__(self, distro):
self._distro = distro
filename = os.path.join(_get_data_dir(), distro.lower() + ".csv")
csvfile = open(filename)
csv_reader = csv.DictReader(csvfile)
self._releases = []
for row in csv_reader:
release = DistroRelease(
row["version"],
row["codename"],
row["series"],
_get_date(row, "created"),
_get_date(row, "release"),
_get_date(row, "eol"),
_get_date(row, "eol-esm"),
_get_date(row, "eol-lts"),
_get_date(row, "eol-elts"),
_get_date(row, "eol-server"),
)
self._releases.append(release)
csvfile.close()
self._date = datetime.date.today()
| (self, distro) | [
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|
35,251 | distro_info | codename | Map codename aliases to the codename they describe. | def codename(self, release, date=None, default=None):
"""Map codename aliases to the codename they describe."""
# pylint: disable=no-self-use,unused-argument
return release
| (self, release, date=None, default=None) | [
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|
35,252 | distro_info | devel | Get latest development distribution based on the given date. | def devel(self, date=None, result="codename"):
"""Get latest development distribution based on the given date."""
if date is None:
date = self._date
distros = [
x
for x in self._avail(date)
if x.release is None or (date < x.release and (x.eol is None or date <= x.eol))
]
if not distros:
raise DistroDataOutdated()
return self._format(result, distros[-1])
| (self, date=None, result='codename') | [
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|
35,255 | distro_info | supported | Get list of all supported distributions based on the given date. | def supported(self, date=None, result=None):
"""Get list of all supported distributions based on the given date."""
raise NotImplementedError()
| (self, date=None, result=None) | [
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|
35,257 | distro_info | valid | Check if the given codename is known. | def valid(self, codename):
"""Check if the given codename is known."""
return codename in self.all
| (self, codename) | [
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]
|
35,259 | distro_info | DistroRelease | Represents a distributions release | class DistroRelease(object):
"""Represents a distributions release"""
# pylint: disable=too-few-public-methods
# pylint: disable=too-many-instance-attributes
def __init__(
self,
version,
codename,
series,
created=None,
release=None,
eol=None,
eol_esm=None,
eol_lts=None,
eol_elts=None,
eol_server=None,
):
# pylint: disable=too-many-arguments
self.version = version
self.codename = codename
self.series = series
self.created = created
self.release = release
self.eol = eol
self.eol_lts = eol_lts
self.eol_elts = eol_elts
self.eol_esm = eol_esm
self.eol_server = eol_server
def is_supported(self, date):
"""Check whether this release is supported on the given date."""
return date >= self.created and (
self.eol is None
or date <= self.eol
or (self.eol_server is not None and date <= self.eol_server)
)
| (version, codename, series, created=None, release=None, eol=None, eol_esm=None, eol_lts=None, eol_elts=None, eol_server=None) | [
0.05435026064515114,
0.022135000675916672,
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0.03017149679362774,
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|
35,260 | distro_info | __init__ | null | def __init__(
self,
version,
codename,
series,
created=None,
release=None,
eol=None,
eol_esm=None,
eol_lts=None,
eol_elts=None,
eol_server=None,
):
# pylint: disable=too-many-arguments
self.version = version
self.codename = codename
self.series = series
self.created = created
self.release = release
self.eol = eol
self.eol_lts = eol_lts
self.eol_elts = eol_elts
self.eol_esm = eol_esm
self.eol_server = eol_server
| (self, version, codename, series, created=None, release=None, eol=None, eol_esm=None, eol_lts=None, eol_elts=None, eol_server=None) | [
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|
35,261 | distro_info | is_supported | Check whether this release is supported on the given date. | def is_supported(self, date):
"""Check whether this release is supported on the given date."""
return date >= self.created and (
self.eol is None
or date <= self.eol
or (self.eol_server is not None and date <= self.eol_server)
)
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|
35,262 | distro_info | UbuntuDistroInfo | provides information about Ubuntu's distributions | class UbuntuDistroInfo(DistroInfo):
"""provides information about Ubuntu's distributions"""
def __init__(self):
super().__init__("Ubuntu")
def lts(self, date=None, result="codename"):
"""Get latest long term support (LTS) Ubuntu distribution based on the
given date."""
if date is None:
date = self._date
distros = [
x for x in self._releases if x.version.find("LTS") >= 0 and x.release <= date <= x.eol
]
if not distros:
raise DistroDataOutdated()
return self._format(result, distros[-1])
def is_lts(self, codename):
"""Is codename an LTS release?"""
distros = [x for x in self._releases if x.series == codename]
if not distros:
return False
return "LTS" in distros[0].version
def supported(self, date=None, result="codename"):
"""Get list of all supported Ubuntu distributions based on the given
date."""
if date is None:
date = self._date
distros = [
self._format(result, x)
for x in self._avail(date)
if date <= x.eol or (x.eol_server is not None and date <= x.eol_server)
]
return distros
def supported_esm(self, date=None, result="codename"):
"""Get list of all ESM supported Ubuntu distributions based on the
given date."""
if date is None:
date = self._date
distros = [
self._format(result, x)
for x in self._avail(date)
if x.eol_esm is not None and date <= x.eol_esm
]
return distros
| () | [
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|
35,263 | distro_info | __init__ | null | def __init__(self):
super().__init__("Ubuntu")
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|
35,269 | distro_info | is_lts | Is codename an LTS release? | def is_lts(self, codename):
"""Is codename an LTS release?"""
distros = [x for x in self._releases if x.series == codename]
if not distros:
return False
return "LTS" in distros[0].version
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|
35,270 | distro_info | lts | Get latest long term support (LTS) Ubuntu distribution based on the
given date. | def lts(self, date=None, result="codename"):
"""Get latest long term support (LTS) Ubuntu distribution based on the
given date."""
if date is None:
date = self._date
distros = [
x for x in self._releases if x.version.find("LTS") >= 0 and x.release <= date <= x.eol
]
if not distros:
raise DistroDataOutdated()
return self._format(result, distros[-1])
| (self, date=None, result='codename') | [
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|
35,272 | distro_info | supported | Get list of all supported Ubuntu distributions based on the given
date. | def supported(self, date=None, result="codename"):
"""Get list of all supported Ubuntu distributions based on the given
date."""
if date is None:
date = self._date
distros = [
self._format(result, x)
for x in self._avail(date)
if date <= x.eol or (x.eol_server is not None and date <= x.eol_server)
]
return distros
| (self, date=None, result='codename') | [
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|
35,273 | distro_info | supported_esm | Get list of all ESM supported Ubuntu distributions based on the
given date. | def supported_esm(self, date=None, result="codename"):
"""Get list of all ESM supported Ubuntu distributions based on the
given date."""
if date is None:
date = self._date
distros = [
self._format(result, x)
for x in self._avail(date)
if x.eol_esm is not None and date <= x.eol_esm
]
return distros
| (self, date=None, result='codename') | [
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|
35,277 | distro_info | _get_data_dir | Get the data directory based on the module location. | def _get_data_dir():
"""Get the data directory based on the module location."""
return "/usr/share/distro-info"
| () | [
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|
35,278 | distro_info | _get_date | null | def _get_date(row, column):
return convert_date(row[column]) if column in row else None
| (row, column) | [
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|
35,279 | distro_info | convert_date | Convert a date string in ISO 8601 into a datetime object. | def convert_date(string):
"""Convert a date string in ISO 8601 into a datetime object."""
if not string:
date = None
else:
parts = [int(x) for x in string.split("-")]
if len(parts) == 3:
(year, month, day) = parts
date = datetime.date(year, month, day)
elif len(parts) == 2:
(year, month) = parts
if month == 12:
date = datetime.date(year, month, 31)
else:
date = datetime.date(year, month + 1, 1) - datetime.timedelta(1)
else:
raise ValueError("Date not in ISO 8601 format.")
return date
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|
35,283 | pycoparsec.parser | Parser | This class implements a parser-combinator style parser on arbitrary None-less iterators.
:ivar matcher: The meat-and-potatoes of the parser. Takes in the next token from the stream, and
the rest of the token iterator. Gives back either a constructed *output object* or None if the
parse failed.
:ivar choices: A list of other Parsers to try in order if this Parser fails. By default, a newly
constructed parser always fails, so something like ``Parser().choice(parser1, parser2)`` will
always defer to ``parser1`` and then ``parser2``.
| class Parser(Generic[S, O]):
"""This class implements a parser-combinator style parser on arbitrary None-less iterators.
:ivar matcher: The meat-and-potatoes of the parser. Takes in the next token from the stream, and
the rest of the token iterator. Gives back either a constructed *output object* or None if the
parse failed.
:ivar choices: A list of other Parsers to try in order if this Parser fails. By default, a newly
constructed parser always fails, so something like ``Parser().choice(parser1, parser2)`` will
always defer to ``parser1`` and then ``parser2``.
"""
def __init__(self) -> None:
self.matcher: Callable[[S, Iterator[S]], Optional[O]] = lambda tok, rest: None
self.choices: List["Parser[S, O]"] = []
def exactly(self, token: S, factory: Callable[[S], O]) -> "Parser[S, O]":
"""Match one element of the input stream exactly, then exit."""
self.matcher = lambda tok, rest: factory(tok) if tok == token else None
return self
def then(self, parser: "Parser[S, O]") -> "Parser[S, O]":
"""Chain another parser onto this one, linking their success states together.
Successful parse chains call `__add__` on the output object to append them together. If
the default behavior of `__add__` does not support the behavior you want, please make a
new class which overrides `__add__` and inherits behavior from your desired output type.
"""
capturedMatcher = self.matcher
def _matcher(tok, rest):
if (out := capturedMatcher(tok, rest)) is None: return None
try:
subout = parser.run(rest)
if subout is None: return None
return out + subout
except FailedParsing:
return None
self.matcher = _matcher
return self
def choice(self, choices: List["Parser[S, O]"]) -> "Parser[S, O]":
"""Add a list of alternative Parsers in the case that this Parser fails."""
self.choices.extend(choices)
return self
def __ror__(self, other: "Parser[S, O]") -> "Parser[S, O]":
"""Cute syntax for supplying alternatives. Allows you to use something like ``(parser1 | parser2).run()``"""
self.choice([other])
return self
def __or__(self, other: "Parser[S, O]") -> "Parser[S, O]":
"""Cute syntax for supplying alternatives. Allows you to use something like ``(parser1 | parser2).run()``"""
self.choice([other])
return self
def run(self, iter: Iterator[S]) -> O:
"""Run this parser."""
ourTee, *tees = tee(iter, len(self.choices) + 1)
tok = next(ourTee, None)
if (out := self.matcher(tok, ourTee)) is not None:
return out
for teenum, subparser in enumerate(self.choices):
try:
subout = subparser.run(tees[teenum])
if subout is not None: return subout
except FailedParsing:
print(f"Failed subparser {teenum}")
raise FailedParsing
| () -> None | [
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|
35,284 | pycoparsec.parser | __init__ | null | def __init__(self) -> None:
self.matcher: Callable[[S, Iterator[S]], Optional[O]] = lambda tok, rest: None
self.choices: List["Parser[S, O]"] = []
| (self) -> NoneType | [
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|
35,285 | pycoparsec.parser | __or__ | Cute syntax for supplying alternatives. Allows you to use something like ``(parser1 | parser2).run()`` | def __or__(self, other: "Parser[S, O]") -> "Parser[S, O]":
"""Cute syntax for supplying alternatives. Allows you to use something like ``(parser1 | parser2).run()``"""
self.choice([other])
return self
| (self, other: pycoparsec.parser.Parser[~S, ~O]) -> pycoparsec.parser.Parser[~S, ~O] | [
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|
35,286 | pycoparsec.parser | __ror__ | Cute syntax for supplying alternatives. Allows you to use something like ``(parser1 | parser2).run()`` | def __ror__(self, other: "Parser[S, O]") -> "Parser[S, O]":
"""Cute syntax for supplying alternatives. Allows you to use something like ``(parser1 | parser2).run()``"""
self.choice([other])
return self
| (self, other: pycoparsec.parser.Parser[~S, ~O]) -> pycoparsec.parser.Parser[~S, ~O] | [
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|
35,287 | pycoparsec.parser | choice | Add a list of alternative Parsers in the case that this Parser fails. | def choice(self, choices: List["Parser[S, O]"]) -> "Parser[S, O]":
"""Add a list of alternative Parsers in the case that this Parser fails."""
self.choices.extend(choices)
return self
| (self, choices: List[pycoparsec.parser.Parser[~S, ~O]]) -> pycoparsec.parser.Parser[~S, ~O] | [
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|
35,288 | pycoparsec.parser | exactly | Match one element of the input stream exactly, then exit. | def exactly(self, token: S, factory: Callable[[S], O]) -> "Parser[S, O]":
"""Match one element of the input stream exactly, then exit."""
self.matcher = lambda tok, rest: factory(tok) if tok == token else None
return self
| (self, token: ~S, factory: Callable[[~S], ~O]) -> pycoparsec.parser.Parser[~S, ~O] | [
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|
35,289 | pycoparsec.parser | run | Run this parser. | def run(self, iter: Iterator[S]) -> O:
"""Run this parser."""
ourTee, *tees = tee(iter, len(self.choices) + 1)
tok = next(ourTee, None)
if (out := self.matcher(tok, ourTee)) is not None:
return out
for teenum, subparser in enumerate(self.choices):
try:
subout = subparser.run(tees[teenum])
if subout is not None: return subout
except FailedParsing:
print(f"Failed subparser {teenum}")
raise FailedParsing
| (self, iter: Iterator[~S]) -> ~O | [
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|
35,290 | pycoparsec.parser | then | Chain another parser onto this one, linking their success states together.
Successful parse chains call `__add__` on the output object to append them together. If
the default behavior of `__add__` does not support the behavior you want, please make a
new class which overrides `__add__` and inherits behavior from your desired output type.
| def then(self, parser: "Parser[S, O]") -> "Parser[S, O]":
"""Chain another parser onto this one, linking their success states together.
Successful parse chains call `__add__` on the output object to append them together. If
the default behavior of `__add__` does not support the behavior you want, please make a
new class which overrides `__add__` and inherits behavior from your desired output type.
"""
capturedMatcher = self.matcher
def _matcher(tok, rest):
if (out := capturedMatcher(tok, rest)) is None: return None
try:
subout = parser.run(rest)
if subout is None: return None
return out + subout
except FailedParsing:
return None
self.matcher = _matcher
return self
| (self, parser: pycoparsec.parser.Parser[~S, ~O]) -> pycoparsec.parser.Parser[~S, ~O] | [
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|
35,359 | authcaptureproxy.auth_capture_proxy | AuthCaptureProxy | Class to handle proxy login connections.
This class relies on tests to be provided to indicate the proxy has completed. At proxy completion all data can be found in self.session, self.data, and self.query.
| class AuthCaptureProxy:
"""Class to handle proxy login connections.
This class relies on tests to be provided to indicate the proxy has completed. At proxy completion all data can be found in self.session, self.data, and self.query.
"""
def __init__(
self,
proxy_url: URL,
host_url: URL,
session: Optional[httpx.AsyncClient] = None,
session_factory: Optional[Callable[[], httpx.AsyncClient]] = None,
preserve_headers: bool = False,
) -> None:
"""Initialize proxy object.
Args:
proxy_url (URL): url for proxy location. e.g., http://192.168.1.1/. If there is any path, the path is considered part of the base url. If no explicit port is specified, a random port will be generated. If https is passed in, ssl_context must be provided at start_proxy() or the url will be downgraded to http.
host_url (URL): original url for login, e.g., http://amazon.com
session (httpx.AsyncClient): httpx client to make queries. Optional
session_factory (lambda: httpx.AsyncClient): factory to create the aforementioned httpx client if having one fixed session is insufficient.
preserve_headers (bool): Whether to preserve headers from the backend. Useful in circumventing CSRF protection. Defaults to False.
"""
self._preserve_headers = preserve_headers
self.session_factory: Callable[[], httpx.AsyncClient] = session_factory or (
lambda: httpx.AsyncClient()
)
self.session: httpx.AsyncClient = session if session else self.session_factory()
self._proxy_url: URL = proxy_url
self._host_url: URL = host_url
self._port: int = proxy_url.explicit_port if proxy_url.explicit_port else 0 # type: ignore
self.runner: Optional[web.AppRunner] = None
self.last_resp: Optional[httpx.Response] = None
self.init_query: Dict[Text, Any] = {}
self.query: Dict[Text, Any] = {}
self.data: Dict[Text, Any] = {}
# tests and modifiers should be initialized after port is actually assigned and not during init.
# however, to ensure defaults go first, they should have a dummy key set
self._tests: Dict[Text, Callable] = {}
self._modifiers: Dict[Text, Union[Callable, Dict[Text, Callable]]] = {
"text/html": {
"prepend_relative_urls": lambda x: x,
"change_host_to_proxy": lambda x: x,
}
}
self._old_tests: Dict[Text, Callable] = {}
self._old_modifiers: Dict[Text, Union[Callable, Dict[Text, Callable]]] = {}
self._active = False
self._all_handler_active = True
self.headers: Dict[Text, Text] = {}
self.redirect_filters: Dict[Text, List[Text]] = {
"url": []
} # dictionary of lists of regex strings to filter against
@property
def active(self) -> bool:
"""Return whether proxy is started."""
return self._active
@property
def all_handler_active(self) -> bool:
"""Return whether all handler is active."""
return self._all_handler_active
@all_handler_active.setter
def all_handler_active(self, value: bool) -> None:
"""Set all handler to value."""
self._all_handler_active = value
@property
def port(self) -> int:
"""Return port setting."""
return self._port
@property
def tests(self) -> Dict[Text, Callable]:
"""Return tests setting.
:setter: value (Dict[Text, Any]): A dictionary of tests. The key should be the name of the test and the value should be a function or coroutine that takes a httpx.Response, a dictionary of post variables, and a dictioary of query variables and returns a URL or string. See :mod:`authcaptureproxy.examples.testers` for examples.
"""
return self._tests
@tests.setter
def tests(self, value: Dict[Text, Callable]) -> None:
"""Set tests.
Args:
value (Dict[Text, Any]): A dictionary of tests.
"""
self.refresh_tests() # refresh in case of pending change
self._old_tests = self._tests.copy()
self._tests = value
@property
def modifiers(self) -> Dict[Text, Union[Callable, Dict[Text, Callable]]]:
"""Return modifiers setting.
:setter: value (Dict[Text, Dict[Text, Callable]): A nested dictionary of modifiers. The key shoud be a MIME type and the value should be a dictionary of modifiers for that MIME type where the key should be the name of the modifier and the value should be a function or couroutine that takes a string and returns a modified string. If parameters are necessary, functools.partial should be used. See :mod:`authcaptureproxy.examples.modifiers` for examples.
"""
return self._modifiers
@modifiers.setter
def modifiers(self, value: Dict[Text, Union[Callable, Dict[Text, Callable]]]) -> None:
"""Set tests.
Args:
value (Dict[Text, Any]): A dictionary of tests.
"""
self.refresh_modifiers() # refresh in case of pending change
self._old_modifiers = self._modifiers
self._modifiers = value
def access_url(self) -> URL:
"""Return access url for proxy with port."""
return self._proxy_url.with_port(self.port) if self.port != 0 else self._proxy_url
async def change_host_url(self, new_url: URL) -> None:
"""Change the host url of the proxy.
This will also reset all stored data.
Args:
new_url (URL): original url for login, e.g., http://amazon.com
"""
if not isinstance(new_url, URL):
raise ValueError("URL required")
self._host_url = new_url
await self.reset_data()
async def reset_data(self) -> None:
"""Reset all stored data.
A proxy may need to service multiple login requests if the route is not torn down. This function will reset all data between logins.
"""
if self.session:
await self.session.aclose()
self.session = self.session_factory()
self.last_resp = None
self.init_query = {}
self.query = {}
self.data = {}
self._active = False
self._all_handler_active = True
_LOGGER.debug("Proxy data reset.")
def refresh_tests(self) -> None:
"""Refresh tests.
Because tests may use partials, they will freeze their parameters which is a problem with self.access() if the port hasn't been assigned.
"""
if self._tests != self._old_tests:
self.tests.update({})
self.old_tests = self.tests.copy()
_LOGGER.debug("Refreshed %s tests: %s", len(self.tests), list(self.tests.keys()))
def refresh_modifiers(self, site: Optional[URL] = None) -> None:
"""Refresh modifiers.
Because modifiers may use partials, they will freeze their parameters which is a problem with self.access() if the port hasn't been assigned.
Args:
site (Optional[URL], optional): The current site. Defaults to None.
"""
DEFAULT_MODIFIERS = { # noqa: N806
"prepend_relative_urls": partial(prepend_relative_urls, self.access_url()),
"change_host_to_proxy": partial(
replace_matching_urls,
self._host_url.with_query({}).with_path("/"),
self.access_url(),
),
}
if self._modifiers != self._old_modifiers:
if self.modifiers.get("text/html") is None:
self.modifiers["text/html"] = DEFAULT_MODIFIERS # type: ignore
elif self.modifiers.get("text/html") and isinstance(self.modifiers["text/html"], dict):
self.modifiers["text/html"].update(DEFAULT_MODIFIERS)
if site and isinstance(self.modifiers["text/html"], dict):
self.modifiers["text/html"].update(
{
"change_empty_to_proxy": partial(
replace_empty_action_urls,
swap_url(
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|
35,360 | authcaptureproxy.auth_capture_proxy | __init__ | Initialize proxy object.
Args:
proxy_url (URL): url for proxy location. e.g., http://192.168.1.1/. If there is any path, the path is considered part of the base url. If no explicit port is specified, a random port will be generated. If https is passed in, ssl_context must be provided at start_proxy() or the url will be downgraded to http.
host_url (URL): original url for login, e.g., http://amazon.com
session (httpx.AsyncClient): httpx client to make queries. Optional
session_factory (lambda: httpx.AsyncClient): factory to create the aforementioned httpx client if having one fixed session is insufficient.
preserve_headers (bool): Whether to preserve headers from the backend. Useful in circumventing CSRF protection. Defaults to False.
| def __init__(
self,
proxy_url: URL,
host_url: URL,
session: Optional[httpx.AsyncClient] = None,
session_factory: Optional[Callable[[], httpx.AsyncClient]] = None,
preserve_headers: bool = False,
) -> None:
"""Initialize proxy object.
Args:
proxy_url (URL): url for proxy location. e.g., http://192.168.1.1/. If there is any path, the path is considered part of the base url. If no explicit port is specified, a random port will be generated. If https is passed in, ssl_context must be provided at start_proxy() or the url will be downgraded to http.
host_url (URL): original url for login, e.g., http://amazon.com
session (httpx.AsyncClient): httpx client to make queries. Optional
session_factory (lambda: httpx.AsyncClient): factory to create the aforementioned httpx client if having one fixed session is insufficient.
preserve_headers (bool): Whether to preserve headers from the backend. Useful in circumventing CSRF protection. Defaults to False.
"""
self._preserve_headers = preserve_headers
self.session_factory: Callable[[], httpx.AsyncClient] = session_factory or (
lambda: httpx.AsyncClient()
)
self.session: httpx.AsyncClient = session if session else self.session_factory()
self._proxy_url: URL = proxy_url
self._host_url: URL = host_url
self._port: int = proxy_url.explicit_port if proxy_url.explicit_port else 0 # type: ignore
self.runner: Optional[web.AppRunner] = None
self.last_resp: Optional[httpx.Response] = None
self.init_query: Dict[Text, Any] = {}
self.query: Dict[Text, Any] = {}
self.data: Dict[Text, Any] = {}
# tests and modifiers should be initialized after port is actually assigned and not during init.
# however, to ensure defaults go first, they should have a dummy key set
self._tests: Dict[Text, Callable] = {}
self._modifiers: Dict[Text, Union[Callable, Dict[Text, Callable]]] = {
"text/html": {
"prepend_relative_urls": lambda x: x,
"change_host_to_proxy": lambda x: x,
}
}
self._old_tests: Dict[Text, Callable] = {}
self._old_modifiers: Dict[Text, Union[Callable, Dict[Text, Callable]]] = {}
self._active = False
self._all_handler_active = True
self.headers: Dict[Text, Text] = {}
self.redirect_filters: Dict[Text, List[Text]] = {
"url": []
} # dictionary of lists of regex strings to filter against
| (self, proxy_url: yarl.URL, host_url: yarl.URL, session: Optional[httpx.AsyncClient] = None, session_factory: Optional[Callable[[], httpx.AsyncClient]] = None, preserve_headers: bool = False) -> NoneType | [
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|
35,361 | authcaptureproxy.auth_capture_proxy | _build_response |
Build a response.
| def refresh_modifiers(self, site: Optional[URL] = None) -> None:
"""Refresh modifiers.
Because modifiers may use partials, they will freeze their parameters which is a problem with self.access() if the port hasn't been assigned.
Args:
site (Optional[URL], optional): The current site. Defaults to None.
"""
DEFAULT_MODIFIERS = { # noqa: N806
"prepend_relative_urls": partial(prepend_relative_urls, self.access_url()),
"change_host_to_proxy": partial(
replace_matching_urls,
self._host_url.with_query({}).with_path("/"),
self.access_url(),
),
}
if self._modifiers != self._old_modifiers:
if self.modifiers.get("text/html") is None:
self.modifiers["text/html"] = DEFAULT_MODIFIERS # type: ignore
elif self.modifiers.get("text/html") and isinstance(self.modifiers["text/html"], dict):
self.modifiers["text/html"].update(DEFAULT_MODIFIERS)
if site and isinstance(self.modifiers["text/html"], dict):
self.modifiers["text/html"].update(
{
"change_empty_to_proxy": partial(
replace_empty_action_urls,
swap_url(
old_url=self._host_url.with_query({}),
new_url=self.access_url().with_query({}),
url=site,
),
),
}
)
self._old_modifiers = self.modifiers.copy()
refreshed_modifers = get_nested_dict_keys(self.modifiers)
_LOGGER.debug("Refreshed %s modifiers: %s", len(refreshed_modifers), refreshed_modifers)
| (self, response: Optional[httpx.Response] = None, *args, **kwargs) -> aiohttp.web_response.Response | [
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|
35,362 | authcaptureproxy.auth_capture_proxy | _swap_proxy_and_host | Replace host with proxy address or proxy with host address.
Args
text (Text): text to replace
domain (bool): Whether only the domains should be swapped.
Returns
Text: Result of replacing
| def _swap_proxy_and_host(self, text: Text, domain_only: bool = False) -> Text:
"""Replace host with proxy address or proxy with host address.
Args
text (Text): text to replace
domain (bool): Whether only the domains should be swapped.
Returns
Text: Result of replacing
"""
host_string: Text = str(self._host_url.with_path("/"))
proxy_string: Text = str(
self.access_url() if not domain_only else self.access_url().with_path("/")
)
if str(self.access_url().with_path("/")).replace("https", "http") in text:
_LOGGER.debug(
"Replacing %s with %s",
str(self.access_url().with_path("/")).replace("https", "http"),
str(self.access_url().with_path("/")),
)
text = text.replace(
str(self.access_url().with_path("/")).replace("https", "http"),
str(self.access_url().with_path("/")),
)
if proxy_string in text:
if host_string[-1] == "/" and (
not proxy_string or proxy_string == "/" or proxy_string[-1] != "/"
):
proxy_string = f"{proxy_string}/"
_LOGGER.debug("Replacing %s with %s in %s", proxy_string, host_string, text)
return text.replace(proxy_string, host_string)
elif host_string in text:
if host_string[-1] == "/" and (
not proxy_string or proxy_string == "/" or proxy_string[-1] != "/"
):
proxy_string = f"{proxy_string}/"
_LOGGER.debug("Replacing %s with %s", host_string, proxy_string)
return text.replace(host_string, proxy_string)
else:
_LOGGER.debug("Unable to find %s and %s in %s", host_string, proxy_string, text)
return text
| (self, text: str, domain_only: bool = False) -> str | [
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|
35,363 | authcaptureproxy.auth_capture_proxy | access_url | Return access url for proxy with port. | def access_url(self) -> URL:
"""Return access url for proxy with port."""
return self._proxy_url.with_port(self.port) if self.port != 0 else self._proxy_url
| (self) -> yarl.URL | [
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|
35,364 | authcaptureproxy.auth_capture_proxy | all_handler | Handle all requests.
This handler will exit on succesful test found in self.tests or if a /stop url is seen. This handler can be used with any aiohttp webserver and disabled after registered using self.all_handler_active.
Args
request (web.Request): The request to process
**kwargs: Additional keyword arguments
access_url (URL): The access url for the proxy. Defaults to self.access_url()
host_url (URL): The host url for the proxy. Defaults to self._host_url
Returns
web.Response: The webresponse to the browser
Raises
web.HTTPFound: Redirect URL upon success
web.HTTPNotFound: Return 404 when all_handler is disabled
| def refresh_modifiers(self, site: Optional[URL] = None) -> None:
"""Refresh modifiers.
Because modifiers may use partials, they will freeze their parameters which is a problem with self.access() if the port hasn't been assigned.
Args:
site (Optional[URL], optional): The current site. Defaults to None.
"""
DEFAULT_MODIFIERS = { # noqa: N806
"prepend_relative_urls": partial(prepend_relative_urls, self.access_url()),
"change_host_to_proxy": partial(
replace_matching_urls,
self._host_url.with_query({}).with_path("/"),
self.access_url(),
),
}
if self._modifiers != self._old_modifiers:
if self.modifiers.get("text/html") is None:
self.modifiers["text/html"] = DEFAULT_MODIFIERS # type: ignore
elif self.modifiers.get("text/html") and isinstance(self.modifiers["text/html"], dict):
self.modifiers["text/html"].update(DEFAULT_MODIFIERS)
if site and isinstance(self.modifiers["text/html"], dict):
self.modifiers["text/html"].update(
{
"change_empty_to_proxy": partial(
replace_empty_action_urls,
swap_url(
old_url=self._host_url.with_query({}),
new_url=self.access_url().with_query({}),
url=site,
),
),
}
)
self._old_modifiers = self.modifiers.copy()
refreshed_modifers = get_nested_dict_keys(self.modifiers)
_LOGGER.debug("Refreshed %s modifiers: %s", len(refreshed_modifers), refreshed_modifers)
| (self, request: aiohttp.web_request.Request, **kwargs) -> aiohttp.web_response.Response | [
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|
35,365 | authcaptureproxy.auth_capture_proxy | change_host_url | Change the host url of the proxy.
This will also reset all stored data.
Args:
new_url (URL): original url for login, e.g., http://amazon.com
| def access_url(self) -> URL:
"""Return access url for proxy with port."""
return self._proxy_url.with_port(self.port) if self.port != 0 else self._proxy_url
| (self, new_url: yarl.URL) -> NoneType | [
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]
|
35,366 | authcaptureproxy.auth_capture_proxy | check_redirects | Change host if redirect detected and regex does not match self.redirect_filters.
Self.redirect_filters is a dict with key as attr in resp and value as list of regex expressions to filter against.
| def check_redirects(self) -> None:
"""Change host if redirect detected and regex does not match self.redirect_filters.
Self.redirect_filters is a dict with key as attr in resp and value as list of regex expressions to filter against.
"""
if not self.last_resp:
return
resp: httpx.Response = self.last_resp
if resp.history:
for item in resp.history:
if (
item.status_code in [301, 302, 303, 304, 305, 306, 307, 308]
and item.url
and resp.url
and resp.url.host != self._host_url.host
):
filtered = False
for attr, regex_list in self.redirect_filters.items():
if getattr(resp, attr) and list(
filter(
lambda regex_string: re.search(
regex_string, str(getattr(resp, attr))
),
regex_list,
)
):
_LOGGER.debug(
"Check_redirects: Filtered out on %s in %s for resp attribute %s",
list(
filter(
lambda regex_string: re.search(
regex_string, str(getattr(resp, attr))
),
regex_list,
)
),
str(getattr(resp, attr)),
attr,
)
filtered = True
if filtered:
return
_LOGGER.debug(
"Detected %s redirect from %s to %s; changing proxy host",
item.status_code,
item.url.host,
resp.url.host,
)
self._host_url = self._host_url.with_host(resp.url.host)
| (self) -> NoneType | [
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|
35,367 | authcaptureproxy.auth_capture_proxy | modify_headers | Modify headers.
Return modified headers based on site and request. To disable auto header generation,
pass in to the header a key const.SKIP_AUTO_HEADERS with a list of keys to not generate.
For example, to prevent User-Agent generation: {SKIP_AUTO_HEADERS : ["User-Agent"]}
Args:
site (URL): URL of the next host request.
request (web.Request): Proxy directed request. This will need to be changed for the actual host request.
Returns:
dict: Headers after modifications
| def _swap_proxy_and_host(self, text: Text, domain_only: bool = False) -> Text:
"""Replace host with proxy address or proxy with host address.
Args
text (Text): text to replace
domain (bool): Whether only the domains should be swapped.
Returns
Text: Result of replacing
"""
host_string: Text = str(self._host_url.with_path("/"))
proxy_string: Text = str(
self.access_url() if not domain_only else self.access_url().with_path("/")
)
if str(self.access_url().with_path("/")).replace("https", "http") in text:
_LOGGER.debug(
"Replacing %s with %s",
str(self.access_url().with_path("/")).replace("https", "http"),
str(self.access_url().with_path("/")),
)
text = text.replace(
str(self.access_url().with_path("/")).replace("https", "http"),
str(self.access_url().with_path("/")),
)
if proxy_string in text:
if host_string[-1] == "/" and (
not proxy_string or proxy_string == "/" or proxy_string[-1] != "/"
):
proxy_string = f"{proxy_string}/"
_LOGGER.debug("Replacing %s with %s in %s", proxy_string, host_string, text)
return text.replace(proxy_string, host_string)
elif host_string in text:
if host_string[-1] == "/" and (
not proxy_string or proxy_string == "/" or proxy_string[-1] != "/"
):
proxy_string = f"{proxy_string}/"
_LOGGER.debug("Replacing %s with %s", host_string, proxy_string)
return text.replace(host_string, proxy_string)
else:
_LOGGER.debug("Unable to find %s and %s in %s", host_string, proxy_string, text)
return text
| (self, site: yarl.URL, request: aiohttp.web_request.Request) -> dict | [
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|
35,368 | authcaptureproxy.auth_capture_proxy | refresh_modifiers | Refresh modifiers.
Because modifiers may use partials, they will freeze their parameters which is a problem with self.access() if the port hasn't been assigned.
Args:
site (Optional[URL], optional): The current site. Defaults to None.
| def refresh_modifiers(self, site: Optional[URL] = None) -> None:
"""Refresh modifiers.
Because modifiers may use partials, they will freeze their parameters which is a problem with self.access() if the port hasn't been assigned.
Args:
site (Optional[URL], optional): The current site. Defaults to None.
"""
DEFAULT_MODIFIERS = { # noqa: N806
"prepend_relative_urls": partial(prepend_relative_urls, self.access_url()),
"change_host_to_proxy": partial(
replace_matching_urls,
self._host_url.with_query({}).with_path("/"),
self.access_url(),
),
}
if self._modifiers != self._old_modifiers:
if self.modifiers.get("text/html") is None:
self.modifiers["text/html"] = DEFAULT_MODIFIERS # type: ignore
elif self.modifiers.get("text/html") and isinstance(self.modifiers["text/html"], dict):
self.modifiers["text/html"].update(DEFAULT_MODIFIERS)
if site and isinstance(self.modifiers["text/html"], dict):
self.modifiers["text/html"].update(
{
"change_empty_to_proxy": partial(
replace_empty_action_urls,
swap_url(
old_url=self._host_url.with_query({}),
new_url=self.access_url().with_query({}),
url=site,
),
),
}
)
self._old_modifiers = self.modifiers.copy()
refreshed_modifers = get_nested_dict_keys(self.modifiers)
_LOGGER.debug("Refreshed %s modifiers: %s", len(refreshed_modifers), refreshed_modifers)
| (self, site: Optional[yarl.URL] = None) -> NoneType | [
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|
35,369 | authcaptureproxy.auth_capture_proxy | refresh_tests | Refresh tests.
Because tests may use partials, they will freeze their parameters which is a problem with self.access() if the port hasn't been assigned.
| def refresh_tests(self) -> None:
"""Refresh tests.
Because tests may use partials, they will freeze their parameters which is a problem with self.access() if the port hasn't been assigned.
"""
if self._tests != self._old_tests:
self.tests.update({})
self.old_tests = self.tests.copy()
_LOGGER.debug("Refreshed %s tests: %s", len(self.tests), list(self.tests.keys()))
| (self) -> NoneType | [
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|
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