Search is not available for this dataset
identifier stringlengths 1 155 | parameters stringlengths 2 6.09k | docstring stringlengths 11 63.4k | docstring_summary stringlengths 0 63.4k | function stringlengths 29 99.8k | function_tokens list | start_point list | end_point list | language stringclasses 1
value | docstring_language stringlengths 2 7 | docstring_language_predictions stringlengths 18 23 | is_langid_reliable stringclasses 2
values |
|---|---|---|---|---|---|---|---|---|---|---|---|
Pad.b | (self) |
Sets the padding form the bottom (in px).
The 'b' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float
|
Sets the padding form the bottom (in px).
The 'b' property is a number and may be specified as:
- An int or float in the interval [0, inf] | def b(self):
"""
Sets the padding form the bottom (in px).
The 'b' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float
"""
return self["b"] | [
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26,
24
] | python | en | ['en', 'error', 'th'] | False |
Pad.l | (self) |
Sets the padding form the left (in px).
The 'l' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float
|
Sets the padding form the left (in px).
The 'l' property is a number and may be specified as:
- An int or float in the interval [0, inf] | def l(self):
"""
Sets the padding form the left (in px).
The 'l' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float
"""
return self["l"] | [
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46,
24
] | python | en | ['en', 'error', 'th'] | False |
Pad.r | (self) |
Sets the padding form the right (in px).
The 'r' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float
|
Sets the padding form the right (in px).
The 'r' property is a number and may be specified as:
- An int or float in the interval [0, inf] | def r(self):
"""
Sets the padding form the right (in px).
The 'r' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float
"""
return self["r"] | [
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24
] | python | en | ['en', 'error', 'th'] | False |
Pad.t | (self) |
Sets the padding form the top (in px).
The 't' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float
|
Sets the padding form the top (in px).
The 't' property is a number and may be specified as:
- An int or float in the interval [0, inf] | def t(self):
"""
Sets the padding form the top (in px).
The 't' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float
"""
return self["t"] | [
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Pad.__init__ | (self, arg=None, b=None, l=None, r=None, t=None, **kwargs) |
Construct a new Pad object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.treemap.marker.Pad`
b
Sets the padding form the bottom (in px).
l... |
Construct a new Pad object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.treemap.marker.Pad`
b
Sets the padding form the bottom (in px).
l... | def __init__(self, arg=None, b=None, l=None, r=None, t=None, **kwargs):
"""
Construct a new Pad object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.treemap.ma... | [
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Timers.timers | (self, ctx) | List all timers. | List all timers. | async def timers(self, ctx):
"""List all timers."""
query = 'SELECT * FROM timers ORDER BY expires LIMIT 10;'
records = await self.bot.pool.fetch(query)
if len(records) == 0:
return await ctx.send('No timers.')
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embed = discord.Embed(title='Timers',... | [
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balanced_l1_loss | (pred,
target,
beta=1.0,
alpha=0.5,
gamma=1.5,
reduction='mean') | Calculate balanced L1 loss.
Please see the `Libra R-CNN <https://arxiv.org/pdf/1904.02701.pdf>`_
Args:
pred (torch.Tensor): The prediction with shape (N, 4).
target (torch.Tensor): The learning target of the prediction with
shape (N, 4).
beta (float): The loss is a piecewis... | Calculate balanced L1 loss. | def balanced_l1_loss(pred,
target,
beta=1.0,
alpha=0.5,
gamma=1.5,
reduction='mean'):
"""Calculate balanced L1 loss.
Please see the `Libra R-CNN <https://arxiv.org/pdf/1904.02701.pdf>`_
Args:
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make_sparse_convmodule | (in_channels,
out_channels,
kernel_size,
indice_key,
stride=1,
padding=0,
conv_type='SubMConv3d',
norm_cfg=None,
... | Make sparse convolution module.
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in_channels (int): the number of input channels
out_channels (int): the number of out channels
kernel_size (int|tuple(int)): kernel size of convolution
indice_key (str): the indice key used for sparse tensor
stride (int|tuple(int)): the ... | Make sparse convolution module. | def make_sparse_convmodule(in_channels,
out_channels,
kernel_size,
indice_key,
stride=1,
padding=0,
conv_type='SubMConv3d',
norm_cf... | [
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init_standard | (id, env) | New version of the init function.
The function's signature is the same as the C counterpart and allows for
extra functionality during init.
..note:: This function is preferred by unbound over the old init function.
..note:: The previously accessible configuration options can now be found in
... | New version of the init function.
The function's signature is the same as the C counterpart and allows for
extra functionality during init.
..note:: This function is preferred by unbound over the old init function.
..note:: The previously accessible configuration options can now be found in
... | def init_standard(id, env):
"""New version of the init function.
The function's signature is the same as the C counterpart and allows for
extra functionality during init.
..note:: This function is preferred by unbound over the old init function.
..note:: The previously accessible configuration optio... | [
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init | (id, cfg) | Previous version init function.
..note:: This function is still supported for backwards compatibility when
the init_standard function is missing. When init_standard is
present this function SHOULD be omitted to avoid confusion to the
reader.
| Previous version init function.
..note:: This function is still supported for backwards compatibility when
the init_standard function is missing. When init_standard is
present this function SHOULD be omitted to avoid confusion to the
reader.
| def init(id, cfg):
"""Previous version init function.
..note:: This function is still supported for backwards compatibility when
the init_standard function is missing. When init_standard is
present this function SHOULD be omitted to avoid confusion to the
reader.
"""
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load_embeddings | (opt, word_dict) |
Initialize embeddings from file of pretrained vectors.
|
Initialize embeddings from file of pretrained vectors.
| def load_embeddings(opt, word_dict):
"""
Initialize embeddings from file of pretrained vectors.
"""
embeddings = torch.Tensor(len(word_dict), opt['embedding_dim'])
embeddings.normal_(0, 1)
opt['embedding_file'] = modelzoo_path(opt.get('datapath'), opt['embedding_file'])
# Fill in embeddings
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build_feature_dict | (opt) |
Make mapping of feature option to feature index.
|
Make mapping of feature option to feature index.
| def build_feature_dict(opt):
"""
Make mapping of feature option to feature index.
"""
feature_dict = {}
if opt['use_in_question']:
feature_dict['in_question'] = len(feature_dict)
feature_dict['in_question_uncased'] = len(feature_dict)
if opt['use_tf']:
feature_dict['tf'] ... | [
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vectorize | (opt, ex, word_dict, feature_dict) |
Turn tokenized text inputs into feature vectors.
|
Turn tokenized text inputs into feature vectors.
| def vectorize(opt, ex, word_dict, feature_dict):
"""
Turn tokenized text inputs into feature vectors.
"""
# Index words
document = torch.LongTensor([word_dict[w] for w in ex['document']])
question = torch.LongTensor([word_dict[w] for w in ex['question']])
# Create extra features vector
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batchify | (batch, null=0, cuda=False) |
Collate inputs into batches.
|
Collate inputs into batches.
| def batchify(batch, null=0, cuda=False):
"""
Collate inputs into batches.
"""
NUM_INPUTS = 3
NUM_TARGETS = 2
NUM_EXTRA = 2
# Get elements
docs = [ex[0] for ex in batch]
features = [ex[1] for ex in batch]
questions = [ex[2] for ex in batch]
text = [ex[-2] for ex in batch]
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CredentialRequest.__init__ | (self, *, request: str = None, comment: str = None, **kwargs) |
Initialize credential request object.
Args:
offer_json: Credential offer json string
credential_request_json: Credential request json string
|
Initialize credential request object. | def __init__(self, *, request: str = None, comment: str = None, **kwargs):
"""
Initialize credential request object.
Args:
offer_json: Credential offer json string
credential_request_json: Credential request json string
"""
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Center.x | (self) |
The 'x' property is a number and may be specified as:
- An int or float
Returns
-------
int|float
|
The 'x' property is a number and may be specified as:
- An int or float | def x(self):
"""
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Returns
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Center.y | (self) |
The 'y' property is a number and may be specified as:
- An int or float
Returns
-------
int|float
|
The 'y' property is a number and may be specified as:
- An int or float | def y(self):
"""
The 'y' property is a number and may be specified as:
- An int or float
Returns
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Center.z | (self) |
The 'z' property is a number and may be specified as:
- An int or float
Returns
-------
int|float
|
The 'z' property is a number and may be specified as:
- An int or float | def z(self):
"""
The 'z' property is a number and may be specified as:
- An int or float
Returns
-------
int|float
"""
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Center.__init__ | (self, arg=None, x=None, y=None, z=None, **kwargs) |
Construct a new Center object
Sets the (x,y,z) components of the 'center' camera vector This
vector determines the translation (x,y,z) space about the
center of this scene. By default, there is no such translation.
Parameters
----------
arg
... |
Construct a new Center object
Sets the (x,y,z) components of the 'center' camera vector This
vector determines the translation (x,y,z) space about the
center of this scene. By default, there is no such translation. | def __init__(self, arg=None, x=None, y=None, z=None, **kwargs):
"""
Construct a new Center object
Sets the (x,y,z) components of the 'center' camera vector This
vector determines the translation (x,y,z) space about the
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Query.__init__ | (self, *, query: str = None, comment: str = None, **kwargs) |
Initialize query message object.
Args:
query: The query string to match against supported message types
comment: An optional comment
|
Initialize query message object. | def __init__(self, *, query: str = None, comment: str = None, **kwargs):
"""
Initialize query message object.
Args:
query: The query string to match against supported message types
comment: An optional comment
"""
super(Query, self).__init__(**kwargs)
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Unselected.marker | (self) |
The 'marker' property is an instance of Marker
that may be specified as:
- An instance of :class:`plotly.graph_objs.scattergeo.unselected.Marker`
- A dict of string/value properties that will be passed
to the Marker constructor
Supported dict properties:... |
The 'marker' property is an instance of Marker
that may be specified as:
- An instance of :class:`plotly.graph_objs.scattergeo.unselected.Marker`
- A dict of string/value properties that will be passed
to the Marker constructor
Supported dict properties:... | def marker(self):
"""
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- An instance of :class:`plotly.graph_objs.scattergeo.unselected.Marker`
- A dict of string/value properties that will be passed
to the Marker constructor
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Unselected.textfont | (self) |
The 'textfont' property is an instance of Textfont
that may be specified as:
- An instance of :class:`plotly.graph_objs.scattergeo.unselected.Textfont`
- A dict of string/value properties that will be passed
to the Textfont constructor
Supported dict pro... |
The 'textfont' property is an instance of Textfont
that may be specified as:
- An instance of :class:`plotly.graph_objs.scattergeo.unselected.Textfont`
- A dict of string/value properties that will be passed
to the Textfont constructor
Supported dict pro... | def textfont(self):
"""
The 'textfont' property is an instance of Textfont
that may be specified as:
- An instance of :class:`plotly.graph_objs.scattergeo.unselected.Textfont`
- A dict of string/value properties that will be passed
to the Textfont constructor
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66,
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Unselected.__init__ | (self, arg=None, marker=None, textfont=None, **kwargs) |
Construct a new Unselected object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.scattergeo.Unselected`
marker
:class:`plotly.graph_objects.scatter... |
Construct a new Unselected object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.scattergeo.Unselected`
marker
:class:`plotly.graph_objects.scatter... | def __init__(self, arg=None, marker=None, textfont=None, **kwargs):
"""
Construct a new Unselected object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.scatter... | [
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testRescheduleUpgradeToLowerVersionThanPreviouslyScheduled | (
looper, tconf, nodeSet, validUpgrade, sdk_pool_handle, sdk_wallet_trustee) |
A node starts at version 1.2 running has scheduled upgrade for version 1.5
but get a txn for upgrade 1.4, it will schedule it and cancel upgrade to 1.5.
|
A node starts at version 1.2 running has scheduled upgrade for version 1.5
but get a txn for upgrade 1.4, it will schedule it and cancel upgrade to 1.5.
| def testRescheduleUpgradeToLowerVersionThanPreviouslyScheduled(
looper, tconf, nodeSet, validUpgrade, sdk_pool_handle, sdk_wallet_trustee):
"""
A node starts at version 1.2 running has scheduled upgrade for version 1.5
but get a txn for upgrade 1.4, it will schedule it and cancel upgrade to 1.5.
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save_image_contexts | (task_opt: Opt) |
Save a JSON of images and associated contexts for the model image chat task.
Note that each image will have BST-style context information saved with it, such as
persona strings and a pair of lines of dialogue from another dataset.
TODO: perhaps have the image chat task make use of this context informa... |
Save a JSON of images and associated contexts for the model image chat task. | def save_image_contexts(task_opt: Opt):
"""
Save a JSON of images and associated contexts for the model image chat task.
Note that each image will have BST-style context information saved with it, such as
persona strings and a pair of lines of dialogue from another dataset.
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completed | (trace_name='',
name='',
sleep_interval=0.05,
streams: List[torch.cuda.Stream] = None) | Async context manager that waits for work to complete on given CUDA
streams. | Async context manager that waits for work to complete on given CUDA
streams. | async def completed(trace_name='',
name='',
sleep_interval=0.05,
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concurrent | (streamqueue: asyncio.Queue,
trace_name='concurrent',
name='stream') | Run code concurrently in different streams.
:param streamqueue: asyncio.Queue instance.
Queue tasks define the pool of streams used for concurrent execution.
| Run code concurrently in different streams. | async def concurrent(streamqueue: asyncio.Queue,
trace_name='concurrent',
name='stream'):
"""Run code concurrently in different streams.
:param streamqueue: asyncio.Queue instance.
Queue tasks define the pool of streams used for concurrent execution.
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QueryAndGroup.forward | (self, points_xyz, center_xyz, features=None) | forward.
Args:
points_xyz (Tensor): (B, N, 3) xyz coordinates of the features.
center_xyz (Tensor): (B, npoint, 3) Centriods.
features (Tensor): (B, C, N) Descriptors of the features.
Return：
Tensor: (B, 3 + C, npoint, sample_num) Grouped feature.
... | forward. | def forward(self, points_xyz, center_xyz, features=None):
"""forward.
Args:
points_xyz (Tensor): (B, N, 3) xyz coordinates of the features.
center_xyz (Tensor): (B, npoint, 3) Centriods.
features (Tensor): (B, C, N) Descriptors of the features.
Return：
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GroupAll.forward | (self,
xyz: torch.Tensor,
new_xyz: torch.Tensor,
features: torch.Tensor = None) | forward.
Args:
xyz (Tensor): (B, N, 3) xyz coordinates of the features.
new_xyz (Tensor): Ignored.
features (Tensor): (B, C, N) features to group.
Return:
Tensor: (B, C + 3, 1, N) Grouped feature.
| forward. | def forward(self,
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GroupingOperation.forward | (ctx, features: torch.Tensor,
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Args:
features (Tensor): (B, C, N) tensor of features to group.
indices (Tensor): (B, npoint, nsample) the indicies of
features to group with.
Returns:
Tensor: (B, C, npoint, nsample) Grouped features.
| forward. | def forward(ctx, features: torch.Tensor,
indices: torch.Tensor) -> torch.Tensor:
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Args:
features (Tensor): (B, C, N) tensor of features to group.
indices (Tensor): (B, npoint, nsample) the indicies of
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GroupingOperation.backward | (ctx,
grad_out: torch.Tensor) | backward.
Args:
grad_out (Tensor): (B, C, npoint, nsample) tensor of the gradients
of the output from forward.
Returns:
Tensor: (B, C, N) gradient of the features.
| backward. | def backward(ctx,
grad_out: torch.Tensor) -> Tuple[torch.Tensor, torch.Tensor]:
"""backward.
Args:
grad_out (Tensor): (B, C, npoint, nsample) tensor of the gradients
of the output from forward.
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Tensor: (B, C, N) gradient of the ... | [
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Tickformatstop.dtickrange | (self) |
range [*min*, *max*], where "min", "max" - dtick values which
describe some zoom level, it is possible to omit "min" or "max"
value by passing "null"
The 'dtickrange' property is an info array that may be specified as:
* a list or tuple of 2 elements where:
(0) The... |
range [*min*, *max*], where "min", "max" - dtick values which
describe some zoom level, it is possible to omit "min" or "max"
value by passing "null"
The 'dtickrange' property is an info array that may be specified as:
* a list or tuple of 2 elements where:
(0) The... | def dtickrange(self):
"""
range [*min*, *max*], where "min", "max" - dtick values which
describe some zoom level, it is possible to omit "min" or "max"
value by passing "null"
The 'dtickrange' property is an info array that may be specified as:
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Tickformatstop.enabled | (self) |
Determines whether or not this stop is used. If `false`, this
stop is ignored even within its `dtickrange`.
The 'enabled' property must be specified as a bool
(either True, or False)
Returns
-------
bool
|
Determines whether or not this stop is used. If `false`, this
stop is ignored even within its `dtickrange`.
The 'enabled' property must be specified as a bool
(either True, or False) | def enabled(self):
"""
Determines whether or not this stop is used. If `false`, this
stop is ignored even within its `dtickrange`.
The 'enabled' property must be specified as a bool
(either True, or False)
Returns
-------
bool
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Tickformatstop.name | (self) |
When used in a template, named items are created in the output
figure in addition to any items the figure already has in this
array. You can modify these items in the output figure by
making your own item with `templateitemname` matching this
`name` alongside your modifications ... |
When used in a template, named items are created in the output
figure in addition to any items the figure already has in this
array. You can modify these items in the output figure by
making your own item with `templateitemname` matching this
`name` alongside your modifications ... | def name(self):
"""
When used in a template, named items are created in the output
figure in addition to any items the figure already has in this
array. You can modify these items in the output figure by
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Tickformatstop.templateitemname | (self) |
Used to refer to a named item in this array in the template.
Named items from the template will be created even without a
matching item in the input figure, but you can modify one by
making an item with `templateitemname` matching its `name`,
alongside your modifications (includ... |
Used to refer to a named item in this array in the template.
Named items from the template will be created even without a
matching item in the input figure, but you can modify one by
making an item with `templateitemname` matching its `name`,
alongside your modifications (includ... | def templateitemname(self):
"""
Used to refer to a named item in this array in the template.
Named items from the template will be created even without a
matching item in the input figure, but you can modify one by
making an item with `templateitemname` matching its `name`,
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Tickformatstop.value | (self) |
string - dtickformat for described zoom level, the same as
"tickformat"
The 'value' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Returns
-------
str
|
string - dtickformat for described zoom level, the same as
"tickformat"
The 'value' property is a string and must be specified as:
- A string
- A number that will be converted to a string | def value(self):
"""
string - dtickformat for described zoom level, the same as
"tickformat"
The 'value' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Returns
-------
str
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Tickformatstop.__init__ | (
self,
arg=None,
dtickrange=None,
enabled=None,
name=None,
templateitemname=None,
value=None,
**kwargs
) |
Construct a new Tickformatstop object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of :class:`plotly.graph_objs.scatter3d.mark
er.colorbar.Tickformatstop`
dtickrange
range [*... |
Construct a new Tickformatstop object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of :class:`plotly.graph_objs.scatter3d.mark
er.colorbar.Tickformatstop`
dtickrange
range [*... | def __init__(
self,
arg=None,
dtickrange=None,
enabled=None,
name=None,
templateitemname=None,
value=None,
**kwargs
):
"""
Construct a new Tickformatstop object
Parameters
----------
arg
dict... | [
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CredentialAckHandler.handle | (self, context: RequestContext, responder: BaseResponder) |
Message handler logic for credential acks.
Args:
context: request context
responder: responder callback
|
Message handler logic for credential acks. | async def handle(self, context: RequestContext, responder: BaseResponder):
"""
Message handler logic for credential acks.
Args:
context: request context
responder: responder callback
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test_max_iou_assigner_with_empty_gt | () | Test corner case where an image might have no true detections. | Test corner case where an image might have no true detections. | def test_max_iou_assigner_with_empty_gt():
"""Test corner case where an image might have no true detections."""
self = MaxIoUAssigner(
pos_iou_thr=0.5,
neg_iou_thr=0.5,
)
bboxes = torch.FloatTensor([
[0, 0, 10, 10],
[10, 10, 20, 20],
[5, 5, 15, 15],
[32, 3... | [
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test_max_iou_assigner_with_empty_boxes | () | Test corner case where an network might predict no boxes. | Test corner case where an network might predict no boxes. | def test_max_iou_assigner_with_empty_boxes():
"""Test corner case where an network might predict no boxes."""
self = MaxIoUAssigner(
pos_iou_thr=0.5,
neg_iou_thr=0.5,
)
bboxes = torch.empty((0, 4))
gt_bboxes = torch.FloatTensor([
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[0, 10, 10, 19],
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test_max_iou_assigner_with_empty_boxes_and_ignore | () | Test corner case where an network might predict no boxes and
ignore_iof_thr is on. | Test corner case where an network might predict no boxes and
ignore_iof_thr is on. | def test_max_iou_assigner_with_empty_boxes_and_ignore():
"""Test corner case where an network might predict no boxes and
ignore_iof_thr is on."""
self = MaxIoUAssigner(
pos_iou_thr=0.5,
neg_iou_thr=0.5,
ignore_iof_thr=0.5,
)
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test_max_iou_assigner_with_empty_boxes_and_gt | () | Test corner case where an network might predict no boxes and no gt. | Test corner case where an network might predict no boxes and no gt. | def test_max_iou_assigner_with_empty_boxes_and_gt():
"""Test corner case where an network might predict no boxes and no gt."""
self = MaxIoUAssigner(
pos_iou_thr=0.5,
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bboxes = torch.empty((0, 4))
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Tickfont.color | (self) |
The 'color' property is a color and may be specified as:
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- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
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- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
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... | def color(self):
"""
The 'color' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
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Tickfont.family | (self) |
HTML font family - the typeface that will be applied by the web
browser. The web browser will only be able to apply a font if
it is available on the system which it operates. Provide
multiple font families, separated by commas, to indicate the
preference in which to apply fonts ... |
HTML font family - the typeface that will be applied by the web
browser. The web browser will only be able to apply a font if
it is available on the system which it operates. Provide
multiple font families, separated by commas, to indicate the
preference in which to apply fonts ... | def family(self):
"""
HTML font family - the typeface that will be applied by the web
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Tickfont.size | (self) |
The 'size' property is a number and may be specified as:
- An int or float in the interval [1, inf]
Returns
-------
int|float
|
The 'size' property is a number and may be specified as:
- An int or float in the interval [1, inf] | def size(self):
"""
The 'size' property is a number and may be specified as:
- An int or float in the interval [1, inf]
Returns
-------
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return self["size"] | [
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103,
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112,
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Tickfont.__init__ | (self, arg=None, color=None, family=None, size=None, **kwargs) |
Construct a new Tickfont object
Sets the color bar's tick label font
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.heatmap.colorbar.Tickfont`
color
... |
Construct a new Tickfont object
Sets the color bar's tick label font | def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
"""
Construct a new Tickfont object
Sets the color bar's tick label font
Parameters
----------
arg
dict of properties compatible with this constructor or
an insta... | [
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pathmaker | (first_segment, *in_path_segments, rev=False) |
Normalizes input path or path fragments, replaces '\\\\' with '/' and combines fragments.
Parameters
----------
first_segment : str
first path segment, if it is 'cwd' gets replaced by 'os.getcwd()'
rev : bool, optional
If 'True' reverts path back to Windows default, by default None... |
Normalizes input path or path fragments, replaces '\\\\' with '/' and combines fragments. | def pathmaker(first_segment, *in_path_segments, rev=False):
"""
Normalizes input path or path fragments, replaces '\\\\' with '/' and combines fragments.
Parameters
----------
first_segment : str
first path segment, if it is 'cwd' gets replaced by 'os.getcwd()'
rev : bool, optional
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check_if_person | (text) |
Using spacy, check if the title of the Wikipedia passage is a person.
|
Using spacy, check if the title of the Wikipedia passage is a person.
| def check_if_person(text):
"""
Using spacy, check if the title of the Wikipedia passage is a person.
"""
doc = NLP(text)
is_person = False
ents = [ent for ent in doc.ents]
for ent in ents:
if ent.label_ == 'PERSON':
is_person = True
return is_person | [
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get_gender | (text) |
Determine gender by the count of referring pronouns in the biography (he, she,
they).
|
Determine gender by the count of referring pronouns in the biography (he, she,
they).
| def get_gender(text):
"""
Determine gender by the count of referring pronouns in the biography (he, she,
they).
"""
he_count = len(re.findall(' he ', text.lower()))
she_count = len(re.findall(' she ', text.lower()))
they_count = len(re.findall(' they ', text.lower()))
if he_count == max... | [
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WikipediaTeacher.get_num_samples | (self, opt) |
Return the number of samples given the datatype.
|
Return the number of samples given the datatype.
| def get_num_samples(self, opt) -> int:
"""
Return the number of samples given the datatype.
"""
datatype = opt['datatype']
if 'train' in datatype:
return 12774693, 12774693
elif 'valid' in datatype:
return 7410, 7410
else:
retur... | [
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WikipediaTeacher.get_fold_chunks | (self, opt) |
Return a list of chunk IDs (integer).
Given the datatype (train/test/valid), return the list of chunk IDs that
correspond to that split.
|
Return a list of chunk IDs (integer). | def get_fold_chunks(self, opt) -> List[int]: # type: ignore
"""
Return a list of chunk IDs (integer).
Given the datatype (train/test/valid), return the list of chunk IDs that
correspond to that split.
"""
datatype = opt['datatype']
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WikipediaTeacher.load_from_chunk | (self, chunk_idx: int) |
[Abstract] Given the chunk index, load examples from that chunk.
Return a list of tuples. The function `_create_message` will take these tuples
to form the Message object that is returned by the teacher.
|
[Abstract] Given the chunk index, load examples from that chunk. | def load_from_chunk(self, chunk_idx: int):
"""
[Abstract] Given the chunk index, load examples from that chunk.
Return a list of tuples. The function `_create_message` will take these tuples
to form the Message object that is returned by the teacher.
"""
output = []
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WikipediaTeacher.create_message | (self, queue_output, entry_idx=0) |
[Abstract] Given the tuple output of the queue, return an act.
|
[Abstract] Given the tuple output of the queue, return an act.
| def create_message(self, queue_output, entry_idx=0) -> 'Message':
"""
[Abstract] Given the tuple output of the queue, return an act.
"""
par, title, lbl, gender, class_type = queue_output
if self.class_task == 'all':
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Aaxis.color | (self) |
Sets default for all colors associated with this axis all at
once: line, font, tick, and grid colors. Grid color is
lightened by blending this with the plot background Individual
pieces can override this.
The 'color' property is a color and may be specified as:
- ... |
Sets default for all colors associated with this axis all at
once: line, font, tick, and grid colors. Grid color is
lightened by blending this with the plot background Individual
pieces can override this.
The 'color' property is a color and may be specified as:
- ... | def color(self):
"""
Sets default for all colors associated with this axis all at
once: line, font, tick, and grid colors. Grid color is
lightened by blending this with the plot background Individual
pieces can override this.
The 'color' property is a color and may b... | [
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107,
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Aaxis.dtick | (self) |
Sets the step in-between ticks on this axis. Use with `tick0`.
Must be a positive number, or special strings available to
"log" and "date" axes. If the axis `type` is "log", then ticks
are set every 10^(n*dtick) where n is the tick number. For
example, to set a tick mark at 1, 1... |
Sets the step in-between ticks on this axis. Use with `tick0`.
Must be a positive number, or special strings available to
"log" and "date" axes. If the axis `type` is "log", then ticks
are set every 10^(n*dtick) where n is the tick number. For
example, to set a tick mark at 1, 1... | def dtick(self):
"""
Sets the step in-between ticks on this axis. Use with `tick0`.
Must be a positive number, or special strings available to
"log" and "date" axes. If the axis `type` is "log", then ticks
are set every 10^(n*dtick) where n is the tick number. For
example... | [
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Aaxis.exponentformat | (self) |
Determines a formatting rule for the tick exponents. For
example, consider the number 1,000,000,000. If "none", it
appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
"power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
"B", 1B.
The 'exponentformat' prop... |
Determines a formatting rule for the tick exponents. For
example, consider the number 1,000,000,000. If "none", it
appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
"power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
"B", 1B.
The 'exponentformat' prop... | def exponentformat(self):
"""
Determines a formatting rule for the tick exponents. For
example, consider the number 1,000,000,000. If "none", it
appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If
"power", 1x10^9 (with 9 in a super script). If "SI", 1G. If
"B", 1B.
... | [
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Aaxis.gridcolor | (self) |
Sets the color of the grid lines.
The 'gridcolor' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100... |
Sets the color of the grid lines.
The 'gridcolor' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100... | def gridcolor(self):
"""
Sets the color of the grid lines.
The 'gridcolor' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/h... | [
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Aaxis.gridwidth | (self) |
Sets the width (in px) of the grid lines.
The 'gridwidth' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float
|
Sets the width (in px) of the grid lines.
The 'gridwidth' property is a number and may be specified as:
- An int or float in the interval [0, inf] | def gridwidth(self):
"""
Sets the width (in px) of the grid lines.
The 'gridwidth' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float
"""
return self["gridwidth"] | [
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Aaxis.hoverformat | (self) |
Sets the hover text formatting rule using d3 formatting mini-
languages which are very similar to those in Python. For
numbers, see: https://github.com/d3/d3-3.x-api-
reference/blob/master/Formatting.md#d3_format And for dates
see: https://github.com/d3/d3-3.x-api-
refer... |
Sets the hover text formatting rule using d3 formatting mini-
languages which are very similar to those in Python. For
numbers, see: https://github.com/d3/d3-3.x-api-
reference/blob/master/Formatting.md#d3_format And for dates
see: https://github.com/d3/d3-3.x-api-
refer... | def hoverformat(self):
"""
Sets the hover text formatting rule using d3 formatting mini-
languages which are very similar to those in Python. For
numbers, see: https://github.com/d3/d3-3.x-api-
reference/blob/master/Formatting.md#d3_format And for dates
see: https://githu... | [
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Aaxis.layer | (self) |
Sets the layer on which this axis is displayed. If *above
traces*, this axis is displayed above all the subplot's traces
If *below traces*, this axis is displayed below all the
subplot's traces, but above the grid lines. Useful when used
together with scatter-like traces with `c... |
Sets the layer on which this axis is displayed. If *above
traces*, this axis is displayed above all the subplot's traces
If *below traces*, this axis is displayed below all the
subplot's traces, but above the grid lines. Useful when used
together with scatter-like traces with `c... | def layer(self):
"""
Sets the layer on which this axis is displayed. If *above
traces*, this axis is displayed above all the subplot's traces
If *below traces*, this axis is displayed below all the
subplot's traces, but above the grid lines. Useful when used
together with... | [
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Aaxis.linecolor | (self) |
Sets the axis line color.
The 'linecolor' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
... |
Sets the axis line color.
The 'linecolor' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
... | def linecolor(self):
"""
Sets the axis line color.
The 'linecolor' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva stri... | [
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Aaxis.linewidth | (self) |
Sets the width (in px) of the axis line.
The 'linewidth' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float
|
Sets the width (in px) of the axis line.
The 'linewidth' property is a number and may be specified as:
- An int or float in the interval [0, inf] | def linewidth(self):
"""
Sets the width (in px) of the axis line.
The 'linewidth' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float
"""
return self["linewidth"] | [
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Aaxis.min | (self) |
The minimum value visible on this axis. The maximum is
determined by the sum minus the minimum values of the other two
axes. The full view corresponds to all the minima set to zero.
The 'min' property is a number and may be specified as:
- An int or float in the interval ... |
The minimum value visible on this axis. The maximum is
determined by the sum minus the minimum values of the other two
axes. The full view corresponds to all the minima set to zero.
The 'min' property is a number and may be specified as:
- An int or float in the interval ... | def min(self):
"""
The minimum value visible on this axis. The maximum is
determined by the sum minus the minimum values of the other two
axes. The full view corresponds to all the minima set to zero.
The 'min' property is a number and may be specified as:
- An int... | [
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] | python | en | ['en', 'error', 'th'] | False |
Aaxis.nticks | (self) |
Specifies the maximum number of ticks for the particular axis.
The actual number of ticks will be chosen automatically to be
less than or equal to `nticks`. Has an effect only if
`tickmode` is set to "auto".
The 'nticks' property is a integer and may be specified as:
... |
Specifies the maximum number of ticks for the particular axis.
The actual number of ticks will be chosen automatically to be
less than or equal to `nticks`. Has an effect only if
`tickmode` is set to "auto".
The 'nticks' property is a integer and may be specified as:
... | def nticks(self):
"""
Specifies the maximum number of ticks for the particular axis.
The actual number of ticks will be chosen automatically to be
less than or equal to `nticks`. Has an effect only if
`tickmode` is set to "auto".
The 'nticks' property is a integer an... | [
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429,
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Aaxis.separatethousands | (self) |
If "true", even 4-digit integers are separated
The 'separatethousands' property must be specified as a bool
(either True, or False)
Returns
-------
bool
|
If "true", even 4-digit integers are separated
The 'separatethousands' property must be specified as a bool
(either True, or False) | def separatethousands(self):
"""
If "true", even 4-digit integers are separated
The 'separatethousands' property must be specified as a bool
(either True, or False)
Returns
-------
bool
"""
return self["separatethousands"] | [
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Aaxis.showexponent | (self) |
If "all", all exponents are shown besides their significands.
If "first", only the exponent of the first tick is shown. If
"last", only the exponent of the last tick is shown. If "none",
no exponents appear.
The 'showexponent' property is an enumeration that may be specifie... |
If "all", all exponents are shown besides their significands.
If "first", only the exponent of the first tick is shown. If
"last", only the exponent of the last tick is shown. If "none",
no exponents appear.
The 'showexponent' property is an enumeration that may be specifie... | def showexponent(self):
"""
If "all", all exponents are shown besides their significands.
If "first", only the exponent of the first tick is shown. If
"last", only the exponent of the last tick is shown. If "none",
no exponents appear.
The 'showexponent' property is ... | [
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Aaxis.showgrid | (self) |
Determines whether or not grid lines are drawn. If True, the
grid lines are drawn at every tick mark.
The 'showgrid' property must be specified as a bool
(either True, or False)
Returns
-------
bool
|
Determines whether or not grid lines are drawn. If True, the
grid lines are drawn at every tick mark.
The 'showgrid' property must be specified as a bool
(either True, or False) | def showgrid(self):
"""
Determines whether or not grid lines are drawn. If True, the
grid lines are drawn at every tick mark.
The 'showgrid' property must be specified as a bool
(either True, or False)
Returns
-------
bool
"""
return ... | [
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Aaxis.showline | (self) |
Determines whether or not a line bounding this axis is drawn.
The 'showline' property must be specified as a bool
(either True, or False)
Returns
-------
bool
|
Determines whether or not a line bounding this axis is drawn.
The 'showline' property must be specified as a bool
(either True, or False) | def showline(self):
"""
Determines whether or not a line bounding this axis is drawn.
The 'showline' property must be specified as a bool
(either True, or False)
Returns
-------
bool
"""
return self["showline"] | [
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Aaxis.showticklabels | (self) |
Determines whether or not the tick labels are drawn.
The 'showticklabels' property must be specified as a bool
(either True, or False)
Returns
-------
bool
|
Determines whether or not the tick labels are drawn.
The 'showticklabels' property must be specified as a bool
(either True, or False) | def showticklabels(self):
"""
Determines whether or not the tick labels are drawn.
The 'showticklabels' property must be specified as a bool
(either True, or False)
Returns
-------
bool
"""
return self["showticklabels"] | [
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Aaxis.showtickprefix | (self) |
If "all", all tick labels are displayed with a prefix. If
"first", only the first tick is displayed with a prefix. If
"last", only the last tick is displayed with a suffix. If
"none", tick prefixes are hidden.
The 'showtickprefix' property is an enumeration that may be spec... |
If "all", all tick labels are displayed with a prefix. If
"first", only the first tick is displayed with a prefix. If
"last", only the last tick is displayed with a suffix. If
"none", tick prefixes are hidden.
The 'showtickprefix' property is an enumeration that may be spec... | def showtickprefix(self):
"""
If "all", all tick labels are displayed with a prefix. If
"first", only the first tick is displayed with a prefix. If
"last", only the last tick is displayed with a suffix. If
"none", tick prefixes are hidden.
The 'showtickprefix' proper... | [
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543,
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Aaxis.showticksuffix | (self) |
Same as `showtickprefix` but for tick suffixes.
The 'showticksuffix' property is an enumeration that may be specified as:
- One of the following enumeration values:
['all', 'first', 'last', 'none']
Returns
-------
Any
|
Same as `showtickprefix` but for tick suffixes.
The 'showticksuffix' property is an enumeration that may be specified as:
- One of the following enumeration values:
['all', 'first', 'last', 'none'] | def showticksuffix(self):
"""
Same as `showtickprefix` but for tick suffixes.
The 'showticksuffix' property is an enumeration that may be specified as:
- One of the following enumeration values:
['all', 'first', 'last', 'none']
Returns
-------
... | [
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Aaxis.tick0 | (self) |
Sets the placement of the first tick on this axis. Use with
`dtick`. If the axis `type` is "log", then you must take the
log of your starting tick (e.g. to set the starting tick to
100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
`dtick` for more info). If the axis `ty... |
Sets the placement of the first tick on this axis. Use with
`dtick`. If the axis `type` is "log", then you must take the
log of your starting tick (e.g. to set the starting tick to
100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
`dtick` for more info). If the axis `ty... | def tick0(self):
"""
Sets the placement of the first tick on this axis. Use with
`dtick`. If the axis `type` is "log", then you must take the
log of your starting tick (e.g. to set the starting tick to
100, set the `tick0` to 2) except when `dtick`=*L<f>* (see
`dtick` for... | [
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Aaxis.tickangle | (self) |
Sets the angle of the tick labels with respect to the
horizontal. For example, a `tickangle` of -90 draws the tick
labels vertically.
The 'tickangle' property is a angle (in degrees) that may be
specified as a number between -180 and 180. Numeric values outside this
... |
Sets the angle of the tick labels with respect to the
horizontal. For example, a `tickangle` of -90 draws the tick
labels vertically.
The 'tickangle' property is a angle (in degrees) that may be
specified as a number between -180 and 180. Numeric values outside this
... | def tickangle(self):
"""
Sets the angle of the tick labels with respect to the
horizontal. For example, a `tickangle` of -90 draws the tick
labels vertically.
The 'tickangle' property is a angle (in degrees) that may be
specified as a number between -180 and 180. Num... | [
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Aaxis.tickcolor | (self) |
Sets the tick color.
The 'tickcolor' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
... |
Sets the tick color.
The 'tickcolor' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
... | def tickcolor(self):
"""
Sets the tick color.
The 'tickcolor' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e... | [
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Aaxis.tickfont | (self) |
Sets the tick font.
The 'tickfont' property is an instance of Tickfont
that may be specified as:
- An instance of :class:`plotly.graph_objs.layout.ternary.aaxis.Tickfont`
- A dict of string/value properties that will be passed
to the Tickfont constructor
... |
Sets the tick font.
The 'tickfont' property is an instance of Tickfont
that may be specified as:
- An instance of :class:`plotly.graph_objs.layout.ternary.aaxis.Tickfont`
- A dict of string/value properties that will be passed
to the Tickfont constructor
... | def tickfont(self):
"""
Sets the tick font.
The 'tickfont' property is an instance of Tickfont
that may be specified as:
- An instance of :class:`plotly.graph_objs.layout.ternary.aaxis.Tickfont`
- A dict of string/value properties that will be passed
... | [
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Aaxis.tickformat | (self) |
Sets the tick label formatting rule using d3 formatting mini-
languages which are very similar to those in Python. For
numbers, see: https://github.com/d3/d3-3.x-api-
reference/blob/master/Formatting.md#d3_format And for dates
see: https://github.com/d3/d3-3.x-api-
refer... |
Sets the tick label formatting rule using d3 formatting mini-
languages which are very similar to those in Python. For
numbers, see: https://github.com/d3/d3-3.x-api-
reference/blob/master/Formatting.md#d3_format And for dates
see: https://github.com/d3/d3-3.x-api-
refer... | def tickformat(self):
"""
Sets the tick label formatting rule using d3 formatting mini-
languages which are very similar to those in Python. For
numbers, see: https://github.com/d3/d3-3.x-api-
reference/blob/master/Formatting.md#d3_format And for dates
see: https://github... | [
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Aaxis.tickformatstops | (self) |
The 'tickformatstops' property is a tuple of instances of
Tickformatstop that may be specified as:
- A list or tuple of instances of plotly.graph_objs.layout.ternary.aaxis.Tickformatstop
- A list or tuple of dicts of string/value properties that
will be passed to the Tic... |
The 'tickformatstops' property is a tuple of instances of
Tickformatstop that may be specified as:
- A list or tuple of instances of plotly.graph_objs.layout.ternary.aaxis.Tickformatstop
- A list or tuple of dicts of string/value properties that
will be passed to the Tic... | def tickformatstops(self):
"""
The 'tickformatstops' property is a tuple of instances of
Tickformatstop that may be specified as:
- A list or tuple of instances of plotly.graph_objs.layout.ternary.aaxis.Tickformatstop
- A list or tuple of dicts of string/value properties that... | [
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821,
38
] | python | en | ['en', 'error', 'th'] | False |
Aaxis.tickformatstopdefaults | (self) |
When used in a template (as
layout.template.layout.ternary.aaxis.tickformatstopdefaults),
sets the default property values to use for elements of
layout.ternary.aaxis.tickformatstops
The 'tickformatstopdefaults' property is an instance of Tickformatstop
that may be ... |
When used in a template (as
layout.template.layout.ternary.aaxis.tickformatstopdefaults),
sets the default property values to use for elements of
layout.ternary.aaxis.tickformatstops
The 'tickformatstopdefaults' property is an instance of Tickformatstop
that may be ... | def tickformatstopdefaults(self):
"""
When used in a template (as
layout.template.layout.ternary.aaxis.tickformatstopdefaults),
sets the default property values to use for elements of
layout.ternary.aaxis.tickformatstops
The 'tickformatstopdefaults' property is an in... | [
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849,
45
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Aaxis.ticklen | (self) |
Sets the tick length (in px).
The 'ticklen' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float
|
Sets the tick length (in px).
The 'ticklen' property is a number and may be specified as:
- An int or float in the interval [0, inf] | def ticklen(self):
"""
Sets the tick length (in px).
The 'ticklen' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float
"""
return self["ticklen"] | [
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Aaxis.tickmode | (self) |
Sets the tick mode for this axis. If "auto", the number of
ticks is set via `nticks`. If "linear", the placement of the
ticks is determined by a starting position `tick0` and a tick
step `dtick` ("linear" is the default value if `tick0` and
`dtick` are provided). If "array", the... |
Sets the tick mode for this axis. If "auto", the number of
ticks is set via `nticks`. If "linear", the placement of the
ticks is determined by a starting position `tick0` and a tick
step `dtick` ("linear" is the default value if `tick0` and
`dtick` are provided). If "array", the... | def tickmode(self):
"""
Sets the tick mode for this axis. If "auto", the number of
ticks is set via `nticks`. If "linear", the placement of the
ticks is determined by a starting position `tick0` and a tick
step `dtick` ("linear" is the default value if `tick0` and
`dtick`... | [
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896,
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Aaxis.tickprefix | (self) |
Sets a tick label prefix.
The 'tickprefix' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Returns
-------
str
|
Sets a tick label prefix.
The 'tickprefix' property is a string and must be specified as:
- A string
- A number that will be converted to a string | def tickprefix(self):
"""
Sets a tick label prefix.
The 'tickprefix' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Returns
-------
str
"""
return self["tickprefix"] | [
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Aaxis.ticks | (self) |
Determines whether ticks are drawn or not. If "", this axis'
ticks are not drawn. If "outside" ("inside"), this axis' are
drawn outside (inside) the axis lines.
The 'ticks' property is an enumeration that may be specified as:
- One of the following enumeration values:
... |
Determines whether ticks are drawn or not. If "", this axis'
ticks are not drawn. If "outside" ("inside"), this axis' are
drawn outside (inside) the axis lines.
The 'ticks' property is an enumeration that may be specified as:
- One of the following enumeration values:
... | def ticks(self):
"""
Determines whether ticks are drawn or not. If "", this axis'
ticks are not drawn. If "outside" ("inside"), this axis' are
drawn outside (inside) the axis lines.
The 'ticks' property is an enumeration that may be specified as:
- One of the follo... | [
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Aaxis.ticksuffix | (self) |
Sets a tick label suffix.
The 'ticksuffix' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Returns
-------
str
|
Sets a tick label suffix.
The 'ticksuffix' property is a string and must be specified as:
- A string
- A number that will be converted to a string | def ticksuffix(self):
"""
Sets a tick label suffix.
The 'ticksuffix' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Returns
-------
str
"""
return self["ticksuffix"] | [
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Aaxis.ticktext | (self) |
Sets the text displayed at the ticks position via `tickvals`.
Only has an effect if `tickmode` is set to "array". Used with
`tickvals`.
The 'ticktext' property is an array that may be specified as a tuple,
list, numpy array, or pandas Series
Returns
-------... |
Sets the text displayed at the ticks position via `tickvals`.
Only has an effect if `tickmode` is set to "array". Used with
`tickvals`.
The 'ticktext' property is an array that may be specified as a tuple,
list, numpy array, or pandas Series | def ticktext(self):
"""
Sets the text displayed at the ticks position via `tickvals`.
Only has an effect if `tickmode` is set to "array". Used with
`tickvals`.
The 'ticktext' property is an array that may be specified as a tuple,
list, numpy array, or pandas Series
... | [
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] | [
983,
31
] | python | en | ['en', 'error', 'th'] | False |
Aaxis.ticktextsrc | (self) |
Sets the source reference on Chart Studio Cloud for ticktext .
The 'ticktextsrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
|
Sets the source reference on Chart Studio Cloud for ticktext .
The 'ticktextsrc' property must be specified as a string or
as a plotly.grid_objs.Column object | def ticktextsrc(self):
"""
Sets the source reference on Chart Studio Cloud for ticktext .
The 'ticktextsrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
"""
return self["ticktextsrc"] | [
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] | [
1003,
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Aaxis.tickvals | (self) |
Sets the values at which ticks on this axis appear. Only has an
effect if `tickmode` is set to "array". Used with `ticktext`.
The 'tickvals' property is an array that may be specified as a tuple,
list, numpy array, or pandas Series
Returns
-------
numpy.nda... |
Sets the values at which ticks on this axis appear. Only has an
effect if `tickmode` is set to "array". Used with `ticktext`.
The 'tickvals' property is an array that may be specified as a tuple,
list, numpy array, or pandas Series | def tickvals(self):
"""
Sets the values at which ticks on this axis appear. Only has an
effect if `tickmode` is set to "array". Used with `ticktext`.
The 'tickvals' property is an array that may be specified as a tuple,
list, numpy array, or pandas Series
Returns
... | [
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Aaxis.tickvalssrc | (self) |
Sets the source reference on Chart Studio Cloud for tickvals .
The 'tickvalssrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
|
Sets the source reference on Chart Studio Cloud for tickvals .
The 'tickvalssrc' property must be specified as a string or
as a plotly.grid_objs.Column object | def tickvalssrc(self):
"""
Sets the source reference on Chart Studio Cloud for tickvals .
The 'tickvalssrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
"""
return self["tickvalssrc"] | [
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Aaxis.tickwidth | (self) |
Sets the tick width (in px).
The 'tickwidth' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float
|
Sets the tick width (in px).
The 'tickwidth' property is a number and may be specified as:
- An int or float in the interval [0, inf] | def tickwidth(self):
"""
Sets the tick width (in px).
The 'tickwidth' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float
"""
return self["tickwidth"] | [
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Aaxis.title | (self) |
The 'title' property is an instance of Title
that may be specified as:
- An instance of :class:`plotly.graph_objs.layout.ternary.aaxis.Title`
- A dict of string/value properties that will be passed
to the Title constructor
Supported dict properties:
... |
The 'title' property is an instance of Title
that may be specified as:
- An instance of :class:`plotly.graph_objs.layout.ternary.aaxis.Title`
- A dict of string/value properties that will be passed
to the Title constructor
Supported dict properties:
... | def title(self):
"""
The 'title' property is an instance of Title
that may be specified as:
- An instance of :class:`plotly.graph_objs.layout.ternary.aaxis.Title`
- A dict of string/value properties that will be passed
to the Title constructor
Sup... | [
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Aaxis.titlefont | (self) |
Deprecated: Please use layout.ternary.aaxis.title.font instead.
Sets this axis' title font. Note that the title's font used to
be customized by the now deprecated `titlefont` attribute.
The 'font' property is an instance of Font
that may be specified as:
- An inst... |
Deprecated: Please use layout.ternary.aaxis.title.font instead.
Sets this axis' title font. Note that the title's font used to
be customized by the now deprecated `titlefont` attribute.
The 'font' property is an instance of Font
that may be specified as:
- An inst... | def titlefont(self):
"""
Deprecated: Please use layout.ternary.aaxis.title.font instead.
Sets this axis' title font. Note that the title's font used to
be customized by the now deprecated `titlefont` attribute.
The 'font' property is an instance of Font
that may be s... | [
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1146,
32
] | python | en | ['en', 'error', 'th'] | False |
Aaxis.uirevision | (self) |
Controls persistence of user-driven changes in axis `min`, and
`title` if in `editable: true` configuration. Defaults to
`ternary<N>.uirevision`.
The 'uirevision' property accepts values of any type
Returns
-------
Any
|
Controls persistence of user-driven changes in axis `min`, and
`title` if in `editable: true` configuration. Defaults to
`ternary<N>.uirevision`.
The 'uirevision' property accepts values of any type | def uirevision(self):
"""
Controls persistence of user-driven changes in axis `min`, and
`title` if in `editable: true` configuration. Defaults to
`ternary<N>.uirevision`.
The 'uirevision' property accepts values of any type
Returns
-------
Any
... | [
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"self",
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1155,
4
] | [
1167,
33
] | python | en | ['en', 'error', 'th'] | False |
Aaxis.__init__ | (
self,
arg=None,
color=None,
dtick=None,
exponentformat=None,
gridcolor=None,
gridwidth=None,
hoverformat=None,
layer=None,
linecolor=None,
linewidth=None,
min=None,
nticks=None,
separatethousands=None,
... |
Construct a new Aaxis object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.layout.ternary.Aaxis`
color
Sets default for all colors associated with... |
Construct a new Aaxis object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.layout.ternary.Aaxis`
color
Sets default for all colors associated with... | def __init__(
self,
arg=None,
color=None,
dtick=None,
exponentformat=None,
gridcolor=None,
gridwidth=None,
hoverformat=None,
layer=None,
linecolor=None,
linewidth=None,
min=None,
nticks=None,
separatethousand... | [
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] | python | en | ['en', 'error', 'th'] | False |
js_prerelease | (command, strict=False) | decorator for building minified js/css prior to another command | decorator for building minified js/css prior to another command | def js_prerelease(command, strict=False):
"""decorator for building minified js/css prior to another command"""
class DecoratedCommand(command):
def run(self):
jsdeps = self.distribution.get_command_obj("jsdeps")
if not is_repo and all(os.path.exists(t) for t in jsdeps.targets):... | [
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update_package_data | (distribution) | update package_data to catch changes during setup | update package_data to catch changes during setup | def update_package_data(distribution):
"""update package_data to catch changes during setup"""
build_py = distribution.get_command_obj("build_py")
# distribution.package_data = find_package_data()
# re-init build_py options which load package_data
build_py.finalize_options() | [
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Tickformatstop.dtickrange | (self) |
range [*min*, *max*], where "min", "max" - dtick values which
describe some zoom level, it is possible to omit "min" or "max"
value by passing "null"
The 'dtickrange' property is an info array that may be specified as:
* a list or tuple of 2 elements where:
(0) The... |
range [*min*, *max*], where "min", "max" - dtick values which
describe some zoom level, it is possible to omit "min" or "max"
value by passing "null"
The 'dtickrange' property is an info array that may be specified as:
* a list or tuple of 2 elements where:
(0) The... | def dtickrange(self):
"""
range [*min*, *max*], where "min", "max" - dtick values which
describe some zoom level, it is possible to omit "min" or "max"
value by passing "null"
The 'dtickrange' property is an info array that may be specified as:
* a list or tuple... | [
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33
] | python | en | ['en', 'error', 'th'] | False |
Tickformatstop.enabled | (self) |
Determines whether or not this stop is used. If `false`, this
stop is ignored even within its `dtickrange`.
The 'enabled' property must be specified as a bool
(either True, or False)
Returns
-------
bool
|
Determines whether or not this stop is used. If `false`, this
stop is ignored even within its `dtickrange`.
The 'enabled' property must be specified as a bool
(either True, or False) | def enabled(self):
"""
Determines whether or not this stop is used. If `false`, this
stop is ignored even within its `dtickrange`.
The 'enabled' property must be specified as a bool
(either True, or False)
Returns
-------
bool
"""
ret... | [
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] | [
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] | [
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30
] | python | en | ['en', 'error', 'th'] | False |
Tickformatstop.name | (self) |
When used in a template, named items are created in the output
figure in addition to any items the figure already has in this
array. You can modify these items in the output figure by
making your own item with `templateitemname` matching this
`name` alongside your modifications ... |
When used in a template, named items are created in the output
figure in addition to any items the figure already has in this
array. You can modify these items in the output figure by
making your own item with `templateitemname` matching this
`name` alongside your modifications ... | def name(self):
"""
When used in a template, named items are created in the output
figure in addition to any items the figure already has in this
array. You can modify these items in the output figure by
making your own item with `templateitemname` matching this
`name` al... | [
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"]"
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61,
4
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79,
27
] | python | en | ['en', 'error', 'th'] | False |
Tickformatstop.templateitemname | (self) |
Used to refer to a named item in this array in the template.
Named items from the template will be created even without a
matching item in the input figure, but you can modify one by
making an item with `templateitemname` matching its `name`,
alongside your modifications (includ... |
Used to refer to a named item in this array in the template.
Named items from the template will be created even without a
matching item in the input figure, but you can modify one by
making an item with `templateitemname` matching its `name`,
alongside your modifications (includ... | def templateitemname(self):
"""
Used to refer to a named item in this array in the template.
Named items from the template will be created even without a
matching item in the input figure, but you can modify one by
making an item with `templateitemname` matching its `name`,
... | [
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] | [
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39
] | python | en | ['en', 'error', 'th'] | False |
Tickformatstop.value | (self) |
string - dtickformat for described zoom level, the same as
"tickformat"
The 'value' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Returns
-------
str
|
string - dtickformat for described zoom level, the same as
"tickformat"
The 'value' property is a string and must be specified as:
- A string
- A number that will be converted to a string | def value(self):
"""
string - dtickformat for described zoom level, the same as
"tickformat"
The 'value' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Returns
-------
str
"... | [
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"]"
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28
] | python | en | ['en', 'error', 'th'] | False |
Tickformatstop.__init__ | (
self,
arg=None,
dtickrange=None,
enabled=None,
name=None,
templateitemname=None,
value=None,
**kwargs
) |
Construct a new Tickformatstop object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of :class:`plotly.graph_objs.parcats.line.c
olorbar.Tickformatstop`
dtickrange
range [*min*... |
Construct a new Tickformatstop object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of :class:`plotly.graph_objs.parcats.line.c
olorbar.Tickformatstop`
dtickrange
range [*min*... | def __init__(
self,
arg=None,
dtickrange=None,
enabled=None,
name=None,
templateitemname=None,
value=None,
**kwargs
):
"""
Construct a new Tickformatstop object
Parameters
----------
arg
dict... | [
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