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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
PublicKeyType.ver_type | (self) | Accessor for the verification type identifier. | Accessor for the verification type identifier. | def ver_type(self) -> str:
"""Accessor for the verification type identifier."""
return self.value.ver_type | [
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PublicKeyType.authn_type | (self) | Accessor for the authentication type identifier. | Accessor for the authentication type identifier. | def authn_type(self) -> str:
"""Accessor for the authentication type identifier."""
return self.value.authn_type | [
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PublicKeyType.specifier | (self) | Accessor for the value specifier. | Accessor for the value specifier. | def specifier(self) -> str:
"""Accessor for the value specifier."""
return self.value.specifier | [
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PublicKeyType.specification | (self, val: str) |
Return specifier and input value for use in public key specification.
Args:
val: value of public key
Returns: dict mapping applicable specifier to input value
|
Return specifier and input value for use in public key specification. | def specification(self, val: str) -> str:
"""
Return specifier and input value for use in public key specification.
Args:
val: value of public key
Returns: dict mapping applicable specifier to input value
"""
return {self.specifier: val} | [
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PublicKey.__init__ | (
self,
did: str,
ident: str,
value: str,
pk_type: PublicKeyType = None,
controller: str = None,
authn: bool = False,
) |
Retain key specification particulars.
Args:
did: DID of DID document embedding public key
ident: identifier for public key
value: key content, encoded as key specification requires
pk_type: public key type (enum), default ED25519_SIG_2018
con... |
Retain key specification particulars. | def __init__(
self,
did: str,
ident: str,
value: str,
pk_type: PublicKeyType = None,
controller: str = None,
authn: bool = False,
) -> None:
"""
Retain key specification particulars.
Args:
did: DID of DID document embedding... | [
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133,
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PublicKey.did | (self) | Accessor for the DID. | Accessor for the DID. | def did(self) -> str:
"""Accessor for the DID."""
return self._did | [
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PublicKey.id | (self) | Accessor for the public key identifier. | Accessor for the public key identifier. | def id(self) -> str:
"""Accessor for the public key identifier."""
return self._id | [
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23
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PublicKey.type | (self) | Accessor for the public key type. | Accessor for the public key type. | def type(self) -> PublicKeyType:
"""Accessor for the public key type."""
return self._type | [
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PublicKey.value | (self) | Accessor for the public key value. | Accessor for the public key value. | def value(self) -> str:
"""Accessor for the public key value."""
return self._value | [
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157,
26
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PublicKey.controller | (self) | Accessor for the controller DID. | Accessor for the controller DID. | def controller(self) -> str:
"""Accessor for the controller DID."""
return self._controller | [
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163,
31
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PublicKey.authn | (self) | Accessor for the authentication marker.
Returns: whether public key is marked as having DID authentication privilege
| Accessor for the authentication marker. | def authn(self) -> bool:
"""Accessor for the authentication marker.
Returns: whether public key is marked as having DID authentication privilege
"""
return self._authn | [
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172,
26
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PublicKey.authn | (self, value: bool) | Setter for the authentication marker.
Args:
value: authentication marker
| Setter for the authentication marker. | def authn(self, value: bool) -> None:
"""Setter for the authentication marker.
Args:
value: authentication marker
"""
self._authn = value | [
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PublicKey.to_dict | (self) | Return dict representation of public key to embed in DID document. | Return dict representation of public key to embed in DID document. | def to_dict(self) -> dict:
"""Return dict representation of public key to embed in DID document."""
return {
"id": self.id,
"type": str(self.type.ver_type),
"controller": canon_ref(self.did, self.controller),
**self.type.specification(self.value),
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PublicKey.__repr__ | (self) | Return string representation of the public key instance. | Return string representation of the public key instance. | def __repr__(self) -> str:
"""Return string representation of the public key instance."""
return "PublicKey({}, {}, {}, {}, {}, {})".format(
self.did, self.id, self.value, self.type, self.controller, self.authn
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LiDARPoints.flip | (self, bev_direction='horizontal') | Flip the boxes in BEV along given BEV direction. | Flip the boxes in BEV along given BEV direction. | def flip(self, bev_direction='horizontal'):
"""Flip the boxes in BEV along given BEV direction."""
if bev_direction == 'horizontal':
self.tensor[:, 1] = -self.tensor[:, 1]
elif bev_direction == 'vertical':
self.tensor[:, 0] = -self.tensor[:, 0] | [
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LiDARPoints.in_range_bev | (self, point_range) | Check whether the points are in the given range.
Args:
point_range (list | torch.Tensor): The range of point
in order of (x_min, y_min, x_max, y_max).
Returns:
torch.Tensor: Indicating whether each point is inside \
the reference range.
| Check whether the points are in the given range. | def in_range_bev(self, point_range):
"""Check whether the points are in the given range.
Args:
point_range (list | torch.Tensor): The range of point
in order of (x_min, y_min, x_max, y_max).
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LiDARPoints.convert_to | (self, dst, rt_mat=None) | Convert self to ``dst`` mode.
Args:
dst (:obj:`CoordMode`): The target Point mode.
rt_mat (np.ndarray | torch.Tensor): The rotation and translation
matrix between different coordinates. Defaults to None.
The conversion from `src` coordinates to `dst` coor... | Convert self to ``dst`` mode. | def convert_to(self, dst, rt_mat=None):
"""Convert self to ``dst`` mode.
Args:
dst (:obj:`CoordMode`): The target Point mode.
rt_mat (np.ndarray | torch.Tensor): The rotation and translation
matrix between different coordinates. Defaults to None.
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create_indoor_info_file | (data_path,
pkl_prefix='sunrgbd',
save_path=None,
use_v1=False,
workers=4) | Create indoor information file.
Get information of the raw data and save it to the pkl file.
Args:
data_path (str): Path of the data.
pkl_prefix (str): Prefix of the pkl to be saved. Default: 'sunrgbd'.
save_path (str): Path of the pkl to be saved. Default: None.
use_v1 (bool):... | Create indoor information file. | def create_indoor_info_file(data_path,
pkl_prefix='sunrgbd',
save_path=None,
use_v1=False,
workers=4):
"""Create indoor information file.
Get information of the raw data and save it to the pkl file.
... | [
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TestPresentationRequest.test_init | (self) | Test initializer. | Test initializer. | def test_init(self):
"""Test initializer."""
assert PRES_REQ.request_presentations_attach[0].indy_dict == INDY_PROOF_REQ
assert PRES_REQ.indy_proof_request(0) == INDY_PROOF_REQ | [
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TestPresentationRequest.test_deserialize | (self) | Test deserialization. | Test deserialization. | def test_deserialize(self):
"""Test deserialization."""
dump = json.dumps(
{
"@type": PRESENTATION_REQUEST,
"comment": "Hello World",
"request_presentations~attach": [
AttachDecorator.from_indy_dict(
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TestPresentationRequest.test_serialize | (self) | Test serialization. | Test serialization. | def test_serialize(self):
"""Test serialization."""
pres_req_dict = PRES_REQ.serialize()
pres_req_dict.pop("@id")
assert pres_req_dict == {
"@type": PRESENTATION_REQUEST,
"request_presentations~attach": [
AttachDecorator.from_indy_dict(
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TestPresentationRequestSchema.test_make_model | (self) | Test making model. | Test making model. | def test_make_model(self):
"""Test making model."""
pres_req_dict = PRES_REQ.serialize()
"""
Looks like: {
"@type": "did:sov:BzCbsNYhMrjHiqZDTUASHg;spec/present-proof/1.0/request-presentation",
"@id": "f49773e3-bd56-4868-a5f1-456d1e6d1a16",
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] | python | en | ['en', 'no', 'en'] | True |
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
making your own item with `templateitemname` matching this
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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.bar.marker.col
orbar.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.bar.marker.col
orbar.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
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Title.font | (self) |
Sets this color bar's title font. Note that the title's font
used to be set by the now deprecated `titlefont` attribute.
The 'font' property is an instance of Font
that may be specified as:
- An instance of :class:`plotly.graph_objs.sunburst.marker.colorbar.title.Font`
... |
Sets this color bar's title font. Note that the title's font
used to be set by the now deprecated `titlefont` attribute.
The 'font' property is an instance of Font
that may be specified as:
- An instance of :class:`plotly.graph_objs.sunburst.marker.colorbar.title.Font`
... | def font(self):
"""
Sets this color bar's title font. Note that the title's font
used to be set by the now deprecated `titlefont` attribute.
The 'font' property is an instance of Font
that may be specified as:
- An instance of :class:`plotly.graph_objs.sunburst.mar... | [
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Title.side | (self) |
Determines the location of color bar's title with respect to
the color bar. Note that the title's location used to be set by
the now deprecated `titleside` attribute.
The 'side' property is an enumeration that may be specified as:
- One of the following enumeration values... |
Determines the location of color bar's title with respect to
the color bar. Note that the title's location used to be set by
the now deprecated `titleside` attribute.
The 'side' property is an enumeration that may be specified as:
- One of the following enumeration values... | def side(self):
"""
Determines the location of color bar's title with respect to
the color bar. Note that the title's location used to be set by
the now deprecated `titleside` attribute.
The 'side' property is an enumeration that may be specified as:
- One of the f... | [
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Title.text | (self) |
Sets the title of the color bar. Note that before the existence
of `title.text`, the title's contents used to be defined as the
`title` attribute itself. This behavior has been deprecated.
The 'text' property is a string and must be specified as:
- A string
- A ... |
Sets the title of the color bar. Note that before the existence
of `title.text`, the title's contents used to be defined as the
`title` attribute itself. This behavior has been deprecated.
The 'text' property is a string and must be specified as:
- A string
- A ... | def text(self):
"""
Sets the title of the color bar. Note that before the existence
of `title.text`, the title's contents used to be defined as the
`title` attribute itself. This behavior has been deprecated.
The 'text' property is a string and must be specified as:
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Title.__init__ | (self, arg=None, font=None, side=None, text=None, **kwargs) |
Construct a new Title object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of :class:`plotly.graph_objs.sunburst.marke
r.colorbar.Title`
font
Sets this color bar's title font.... |
Construct a new Title object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of :class:`plotly.graph_objs.sunburst.marke
r.colorbar.Title`
font
Sets this color bar's title font.... | def __init__(self, arg=None, font=None, side=None, text=None, **kwargs):
"""
Construct a new Title object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of :class:`plotly.graph_objs.sunburst.marke
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MessengerAgent.observe | (self, act) |
Send an agent a message through the mturk manager.
|
Send an agent a message through the mturk manager.
| def observe(self, act):
"""
Send an agent a message through the mturk manager.
"""
if 'payload' in act:
resp = self.manager.observe_payload(
self.id,
act['payload'],
act.get('quick_replies', None),
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MessengerAgent.observe_typing_on | (self, persona_id=None) |
Allow agent to observe typing indicator.
|
Allow agent to observe typing indicator.
| def observe_typing_on(self, persona_id=None):
"""
Allow agent to observe typing indicator.
"""
self.manager.message_sender.typing_on(self.id, persona_id=persona_id) | [
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MessengerAgent._is_image_attempt | (self, message) |
Determine if a message is an image attempt.
The API changes frequently so could be an image for a number of reasons.
|
Determine if a message is an image attempt. | def _is_image_attempt(self, message):
"""
Determine if a message is an image attempt.
The API changes frequently so could be an image for a number of reasons.
"""
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MessengerAgent.put_data | (self, messenger_data) |
Put data into the message queue if it hasn't already been seen.
|
Put data into the message queue if it hasn't already been seen.
| def put_data(self, messenger_data):
"""
Put data into the message queue if it hasn't already been seen.
"""
mid = messenger_data['message']['mid']
seq = messenger_data['message'].get('seq', None)
message = messenger_data['message']
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MessengerAgent.act | (self, timeout=None) |
Pulls a message from the message queue.
If none exist returns None unless the timeout has expired.
|
Pulls a message from the message queue. | def act(self, timeout=None):
"""
Pulls a message from the message queue.
If none exist returns None unless the timeout has expired.
"""
# if this is the first act since last sent message start timing
if self.message_request_time is None:
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TransresnetAgent.add_cmdline_args | (
cls, parser: ParlaiParser, partial_opt: Optional[Opt] = None
) |
Add command line args.
|
Add command line args.
| def add_cmdline_args(
cls, parser: ParlaiParser, partial_opt: Optional[Opt] = None
) -> ParlaiParser:
"""
Add command line args.
"""
arg_group = parser.add_argument_group('Transresnet Arguments')
TransresnetModel.add_cmdline_args(parser, partial_opt=partial_opt)
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TransresnetAgent.share | (self) |
Share appropriate attributes.
|
Share appropriate attributes.
| def share(self):
"""
Share appropriate attributes.
"""
shared = super().share()
shared['dict'] = self.dict
shared['model'] = self.model
shared['personalities_list'] = self.personalities_list
shared['fixed_cands'] = self.fixed_cands
shared['fixed_ca... | [
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TransresnetAgent.load_personalities | (self) |
Load and return the list of personalities.
|
Load and return the list of personalities.
| def load_personalities(self):
"""
Load and return the list of personalities.
"""
personality_path = os.path.join(
self.opt['datapath'], 'personality_captions/personalities.txt'
)
if 'yfcc_path' not in self.opt:
self.opt['yfcc_path'] = 'temp_path'
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TransresnetAgent.observe | (self, observation) |
Observe.
|
Observe.
| def observe(self, observation):
"""
Observe.
"""
self.observation = observation
return observation | [
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TransresnetAgent.act | (self) |
Act.
|
Act.
| def act(self):
"""
Act.
"""
return self.batch_act([self.observation])[0] | [
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TransresnetAgent.train_step | (self, valid_obs, image_feats, personalities) |
Model train step.
:param valid_obs:
list of valid observations
:param image_feats:
list of image features, one per example
:param personalities:
list of personalities, one per example
:return:
the total loss, number of correct ... |
Model train step. | def train_step(self, valid_obs, image_feats, personalities):
"""
Model train step.
:param valid_obs:
list of valid observations
:param image_feats:
list of image features, one per example
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list of personalities, one per ... | [
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TransresnetAgent.eval_step | (self, valid_obs, image_feats, personalities) |
Model eval step.
:param valid_obs:
list of valid observations
:param image_feats:
list of image features, one per example
:param personalities:
list of personalities, one per example
:return:
the total loss, number of correct e... |
Model eval step. | def eval_step(self, valid_obs, image_feats, personalities):
"""
Model eval step.
:param valid_obs:
list of valid observations
:param image_feats:
list of image features, one per example
:param personalities:
list of personalities, one per ex... | [
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TransresnetAgent.batch_act | (self, observations) |
Act on a batch of observations.
:param observations:
list of observations
:return:
A list of acts, one for each observation
|
Act on a batch of observations. | def batch_act(self, observations):
"""
Act on a batch of observations.
:param observations:
list of observations
:return:
A list of acts, one for each observation
"""
is_training = any(['labels' in obs for obs in observations])
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TransresnetAgent.extract_image_feats | (self, obs) |
Extract image features from the observations.
:param obs:
list of observations
:return:
list of image features
|
Extract image features from the observations. | def extract_image_feats(self, obs):
"""
Extract image features from the observations.
:param obs:
list of observations
:return:
list of image features
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TransresnetAgent.filter_valid_obs | (self, observations, is_training) |
Filter out invalid observations.
|
Filter out invalid observations.
| def filter_valid_obs(self, observations, is_training):
"""
Filter out invalid observations.
"""
label_key = 'labels' if is_training else 'eval_labels'
valid_obs = []
valid_indexes = []
seen_texts = set()
for i in range(len(observations)):
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TransresnetAgent.update_metrics | (self, loss, num_correct, num_samples, med_rank=None) |
Update Metrics.
:param loss:
float loss
:param num_correct:
number of examples for which chosen caption is correct
:param num_samples:
total number of examples
:param med_rank:
rank of correct caption for each example
|
Update Metrics. | def update_metrics(self, loss, num_correct, num_samples, med_rank=None):
"""
Update Metrics.
:param loss:
float loss
:param num_correct:
number of examples for which chosen caption is correct
:param num_samples:
total number of examples
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TransresnetAgent._setup_dict | (self) |
Set up the dictionary.
The pretrained model used a separate dictionary from the standard ParlAI one.
|
Set up the dictionary. | def _setup_dict(self):
"""
Set up the dictionary.
The pretrained model used a separate dictionary from the standard ParlAI one.
"""
self.dict = DictionaryAgent(self.opt)
if self.opt.get('pretrained', False):
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new_ind2tok = {}
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TransresnetAgent.receive_metrics | (self, metrics_dict) |
Receive the metrics from validation.
Unfreeze text encoder weights after a certain number of rounds without improvement.
:param metrics_dict:
the metrics dictionary
|
Receive the metrics from validation. | def receive_metrics(self, metrics_dict):
"""
Receive the metrics from validation.
Unfreeze text encoder weights after a certain number of rounds without improvement.
:param metrics_dict:
the metrics dictionary
"""
if 'tasks' in metrics_dict:
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TransresnetAgent.reset | (self) |
Reset metrics.
|
Reset metrics.
| def reset(self):
"""
Reset metrics.
"""
super().reset()
self.reset_metrics() | [
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TransresnetAgent.reset_metrics | (self) |
Reset the metrics.
|
Reset the metrics.
| def reset_metrics(self):
"""
Reset the metrics.
"""
self.metrics['hits@1/100'] = 0.0
self.metrics['loss'] = 0.0
self.metrics['num_samples'] = 0.0
if 'med_rank' in self.metrics:
self.metrics['med_rank'] = [] | [
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TransresnetAgent.report | (self) |
Report the current metrics.
:return:
a metrics dict
|
Report the current metrics. | def report(self):
"""
Report the current metrics.
:return:
a metrics dict
"""
m = {}
if self.metrics['num_samples'] > 0:
m['hits@1/100'] = round_sigfigs(
self.metrics['hits@1/100'] / self.metrics['num_samples'], 4
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"se... | [
472,
4
] | [
489,
16
] | python | en | ['en', 'error', 'th'] | False |
TransresnetAgent.save | (self, path=None) |
Save the model.
:param path:
path for saving model
|
Save the model. | def save(self, path=None):
"""
Save the model.
:param path:
path for saving model
"""
path = self.opt.get('model_file', None) if path is None else path
self.dict.save(path + '.dict', sort=False)
print('Saving best model')
states = {}
s... | [
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TransresnetAgent.load | (self, path) |
Load a model.
:param path:
path from which to load model
|
Load a model. | def load(self, path):
"""
Load a model.
:param path:
path from which to load model
"""
with PathManager.open(path, 'rb') as f:
states = torch.load(f, map_location=lambda cpu, _: cpu)
if 'model' in states:
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519,
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round_sig | (num, sig: int) |
Round num to the input number of significant figures.
From https://stackoverflow.com/a/3413529.
|
Round num to the input number of significant figures. | def round_sig(num, sig: int):
"""
Round num to the input number of significant figures.
From https://stackoverflow.com/a/3413529.
"""
return round(num, sig - int(floor(log10(abs(num)))) - 1) | [
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AbstractTestDistillation.setup | (self) |
Download models in advance so that their opt files can be used with --init-opt.
|
Download models in advance so that their opt files can be used with --init-opt.
| def setup(self):
"""
Download models in advance so that their opt files can be used with --init-opt.
"""
seed = 0
random.seed(seed)
np.random.seed(seed)
torch.manual_seed(seed)
datapath = 'data'
self._download_model(datapath)
yield 'Setu... | [
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94,
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107,
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AbstractTestDistillation._download_model | (self, datapath: str) |
Download the model to calculate distillation losses from.
|
Download the model to calculate distillation losses from.
| def _download_model(self, datapath: str):
"""
Download the model to calculate distillation losses from.
""" | [
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113,
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] | python | en | ['en', 'error', 'th'] | False |
AbstractTestDistillation._get_model_file | (self) |
Return the model file for this model type.
|
Return the model file for this model type.
| def _get_model_file(self) -> str:
"""
Return the model file for this model type.
""" | [
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116,
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119,
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AbstractTestDistillation._get_model_opt | (self) |
Return opt specifically for this model type.
|
Return opt specifically for this model type.
| def _get_model_opt(self) -> Dict[str, str]:
"""
Return opt specifically for this model type.
"""
model_file = self._get_model_file()
return {
'dict_file': f'{model_file}.dict',
'init_opt': f'{model_file}.opt',
'teacher_model': model_file,
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130,
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AbstractTestDistillation._get_model_identifier | (self) |
Return a string identifying this model, used in output files.
|
Return a string identifying this model, used in output files.
| def _get_model_identifier(self) -> str:
"""
Return a string identifying this model, used in output files.
""" | [
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133,
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136,
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AbstractTestDistillation._get_agents | (self) |
Return a dict of strings of agent classes specifically for this model type.
'wide_distillation' and 'narrow_distillation' keys required.
|
Return a dict of strings of agent classes specifically for this model type. | def _get_agents(self) -> Dict[str, str]:
"""
Return a dict of strings of agent classes specifically for this model type.
'wide_distillation' and 'narrow_distillation' keys required.
""" | [
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139,
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144,
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AbstractTestDistillation.test_wide_distillation_losses | (
self, setup, data_regression: DataRegressionFixture
) |
Check losses for a model with "wide" (DistilBART-style) distillation loss terms.
|
Check losses for a model with "wide" (DistilBART-style) distillation loss terms.
| def test_wide_distillation_losses(
self, setup, data_regression: DataRegressionFixture
):
"""
Check losses for a model with "wide" (DistilBART-style) distillation loss terms.
"""
model_name = self._get_agents()['wide_distillation']
opt = Opt(
{
... | [
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146,
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161,
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AbstractTestDistillation.test_narrow_distillation_losses | (
self, setup, data_regression: DataRegressionFixture
) |
Check losses for a model with "narrow" (TinyBERT-style) distillation loss terms.
|
Check losses for a model with "narrow" (TinyBERT-style) distillation loss terms.
| def test_narrow_distillation_losses(
self, setup, data_regression: DataRegressionFixture
):
"""
Check losses for a model with "narrow" (TinyBERT-style) distillation loss terms.
"""
model_name = self._get_agents()['narrow_distillation']
opt = Opt(
{
... | [
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179,
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AbstractTestDistillation._check_losses | (
self, opt: Opt, test_name: str, data_regression: DataRegressionFixture
) |
Calculate and check distillation loss terms.
Given the input opt, run eval and check each of the loss terms to make sure that
they match what is expected.
|
Calculate and check distillation loss terms. | def _check_losses(
self, opt: Opt, test_name: str, data_regression: DataRegressionFixture
):
"""
Calculate and check distillation loss terms.
Given the input opt, run eval and check each of the loss terms to make sure that
they match what is expected.
"""
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196,
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SystemNoInput.func | (self) | Do nothing. | Do nothing. | def func(self):
"Do nothing."
pass | [
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45,
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47,
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SystemNoMatch.func | (self) |
This is given the failed raw string as input.
|
This is given the failed raw string as input.
| def func(self):
"""
This is given the failed raw string as input.
"""
self.msg("Huh?") | [
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65,
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SystemMultimatch.format_multimatches | (self, caller, matches) |
Format multiple command matches to a useful error.
This is copied directly from the default method in
evennia.commands.cmdhandler.
|
Format multiple command matches to a useful error. | def format_multimatches(self, caller, matches):
"""
Format multiple command matches to a useful error.
This is copied directly from the default method in
evennia.commands.cmdhandler.
"""
string = "There were multiple matches:"
for num, match in enumerate(matches... | [
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120,
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SystemMultimatch.func | (self) |
argument to cmd is a comma-separated string of
all the clashing matches.
|
argument to cmd is a comma-separated string of
all the clashing matches.
| def func(self):
"""
argument to cmd is a comma-separated string of
all the clashing matches.
"""
string = self.format_multimatches(self.caller, self.matches)
self.msg(string) | [
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SystemSendToChannel.func | (self) |
Create a new message and send it to channel, using
the already formatted input.
|
Create a new message and send it to channel, using
the already formatted input.
| def func(self):
"""
Create a new message and send it to channel, using
the already formatted input.
"""
caller = self.caller
channelkey, msg = self.args
if not msg:
caller.msg("Say what?")
return
channel = ChannelDB.objects.get_chan... | [
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Font.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)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
- A named CSS color:
... |
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)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
- A named CSS color:
... | 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)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
- A name... | [
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63,
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] | python | en | ['en', 'error', 'th'] | False |
Font.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
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
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94,
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Font.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
-------
int|float
"""
return self["size"] | [
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Font.__init__ | (self, arg=None, color=None, family=None, size=None, **kwargs) |
Construct a new Font object
Sets this axis' title font. Note that the title's font used to
be customized by the now deprecated `titlefont` attribute.
Parameters
----------
arg
dict of properties compatible with this constructor or
an ins... |
Construct a new Font object
Sets this axis' title font. Note that the title's font used to
be customized by the now deprecated `titlefont` attribute. | def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
"""
Construct a new Font object
Sets this axis' title font. Note that the title's font used to
be customized by the now deprecated `titlefont` attribute.
Parameters
----------
ar... | [
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Lonaxis.dtick | (self) |
Sets the graticule's longitude/latitude tick step.
The 'dtick' property is a number and may be specified as:
- An int or float
Returns
-------
int|float
|
Sets the graticule's longitude/latitude tick step.
The 'dtick' property is a number and may be specified as:
- An int or float | def dtick(self):
"""
Sets the graticule's longitude/latitude tick step.
The 'dtick' property is a number and may be specified as:
- An int or float
Returns
-------
int|float
"""
return self["dtick"] | [
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Lonaxis.gridcolor | (self) |
Sets the graticule's stroke color.
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%,10... |
Sets the graticule's stroke color.
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%,10... | def gridcolor(self):
"""
Sets the graticule's stroke color.
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/... | [
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85,
32
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Lonaxis.gridwidth | (self) |
Sets the graticule's stroke width (in px).
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 graticule's stroke width (in px).
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 graticule's stroke width (in px).
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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Lonaxis.range | (self) |
Sets the range of this axis (in degrees), sets the map's
clipped coordinates.
The 'range' property is an info array that may be specified as:
* a list or tuple of 2 elements where:
(0) The 'range[0]' property is a number and may be specified as:
- An int or float... |
Sets the range of this axis (in degrees), sets the map's
clipped coordinates.
The 'range' property is an info array that may be specified as:
* a list or tuple of 2 elements where:
(0) The 'range[0]' property is a number and may be specified as:
- An int or float... | def range(self):
"""
Sets the range of this axis (in degrees), sets the map's
clipped coordinates.
The 'range' property is an info array that may be specified as:
* a list or tuple of 2 elements where:
(0) The 'range[0]' property is a number and may be specified as:... | [
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114,
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131,
28
] | python | en | ['en', 'error', 'th'] | False |
Lonaxis.showgrid | (self) |
Sets whether or not graticule are shown on the map.
The 'showgrid' property must be specified as a bool
(either True, or False)
Returns
-------
bool
|
Sets whether or not graticule are shown on the map.
The 'showgrid' property must be specified as a bool
(either True, or False) | def showgrid(self):
"""
Sets whether or not graticule are shown on the map.
The 'showgrid' property must be specified as a bool
(either True, or False)
Returns
-------
bool
"""
return self["showgrid"] | [
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] | python | en | ['en', 'error', 'th'] | False |
Lonaxis.tick0 | (self) |
Sets the graticule's starting tick longitude/latitude.
The 'tick0' property is a number and may be specified as:
- An int or float
Returns
-------
int|float
|
Sets the graticule's starting tick longitude/latitude.
The 'tick0' property is a number and may be specified as:
- An int or float | def tick0(self):
"""
Sets the graticule's starting tick longitude/latitude.
The 'tick0' property is a number and may be specified as:
- An int or float
Returns
-------
int|float
"""
return self["tick0"] | [
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Lonaxis.__init__ | (
self,
arg=None,
dtick=None,
gridcolor=None,
gridwidth=None,
range=None,
showgrid=None,
tick0=None,
**kwargs
) |
Construct a new Lonaxis object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.layout.geo.Lonaxis`
dtick
Sets the graticule's longitude/latitude tic... |
Construct a new Lonaxis object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.layout.geo.Lonaxis`
dtick
Sets the graticule's longitude/latitude tic... | def __init__(
self,
arg=None,
dtick=None,
gridcolor=None,
gridwidth=None,
range=None,
showgrid=None,
tick0=None,
**kwargs
):
"""
Construct a new Lonaxis object
Parameters
----------
arg
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ObjectSessionHandler.__init__ | (self, obj) |
Initializes the handler.
Args:
obj (Object): The object on which the handler is defined.
|
Initializes the handler. | def __init__(self, obj):
"""
Initializes the handler.
Args:
obj (Object): The object on which the handler is defined.
"""
self.obj = obj
self._sessid_cache = []
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ObjectSessionHandler.get | (self, sessid=None) |
Get the sessions linked to this Object.
Args:
sessid (int, optional): A specific session id.
Returns:
sessions (list): The sessions connected to this object. If `sessid` is given,
this is a list of one (or zero) elements.
Notes:
Ali... |
Get the sessions linked to this Object. | def get(self, sessid=None):
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Get the sessions linked to this Object.
Args:
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Returns:
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ObjectSessionHandler.all | (self) |
Alias to get(), returning all sessions.
Returns:
sessions (list): All sessions.
|
Alias to get(), returning all sessions. | def all(self):
"""
Alias to get(), returning all sessions.
Returns:
sessions (list): All sessions.
"""
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ObjectSessionHandler.add | (self, session) |
Add session to handler.
Args:
session (Session or int): Session or session id to add.
Notes:
We will only add a session/sessid if this actually also exists
in the the core sessionhandler.
|
Add session to handler. | def add(self, session):
"""
Add session to handler.
Args:
session (Session or int): Session or session id to add.
Notes:
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ObjectSessionHandler.remove | (self, session) |
Remove session from handler.
Args:
session (Session or int): Session or session id to remove.
|
Remove session from handler. | def remove(self, session):
"""
Remove session from handler.
Args:
session (Session or int): Session or session id to remove.
"""
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ObjectSessionHandler.clear | (self) |
Clear all handled sessids.
|
Clear all handled sessids. | def clear(self):
"""
Clear all handled sessids.
"""
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self.obj.db_sessid = None
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ObjectSessionHandler.count | (self) |
Get amount of sessions connected.
Returns:
sesslen (int): Number of sessions handled.
|
Get amount of sessions connected. | def count(self):
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Get amount of sessions connected.
Returns:
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DefaultObject.has_account | (self) |
Convenience property for checking if an active account is
currently connected to this object.
|
Convenience property for checking if an active account is
currently connected to this object. | def has_account(self):
"""
Convenience property for checking if an active account is
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"""
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DefaultObject.is_superuser | (self) |
Check if user has an account, and if so, if it is a superuser.
|
Check if user has an account, and if so, if it is a superuser. | def is_superuser(self):
"""
Check if user has an account, and if so, if it is a superuser.
"""
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DefaultObject.contents_get | (self, exclude=None) |
Returns the contents of this object, i.e. all
objects that has this object set as its location.
This should be publically available.
Args:
exclude (Object): Object to exclude from returned
contents list
Returns:
contents (list): List of ... |
Returns the contents of this object, i.e. all
objects that has this object set as its location.
This should be publically available. | def contents_get(self, exclude=None):
"""
Returns the contents of this object, i.e. all
objects that has this object set as its location.
This should be publically available.
Args:
exclude (Object): Object to exclude from returned
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DefaultObject.exits | (self) |
Returns all exits from this object, i.e. all objects at this
location having the property destination != `None`.
|
Returns all exits from this object, i.e. all objects at this
location having the property destination != `None`.
| def exits(self):
"""
Returns all exits from this object, i.e. all objects at this
location having the property destination != `None`.
"""
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DefaultObject.get_display_name | (self, looker, **kwargs) |
Displays the name of the object in a viewer-aware manner.
Args:
looker (TypedObject): The object or account that is looking
at/getting inforamtion for this object.
Returns:
name (str): A string containing the name of the object,
includin... |
Displays the name of the object in a viewer-aware manner. | def get_display_name(self, looker, **kwargs):
"""
Displays the name of the object in a viewer-aware manner.
Args:
looker (TypedObject): The object or account that is looking
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271,
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DefaultObject.get_numbered_name | (self, count, looker, **kwargs) |
Return the numbered (singular, plural) forms of this object's key. This is by default called
by return_appearance and is used for grouping multiple same-named of this object. Note that
this will be called on *every* member of a group even though the plural name will be only
shown once. ... |
Return the numbered (singular, plural) forms of this object's key. This is by default called
by return_appearance and is used for grouping multiple same-named of this object. Note that
this will be called on *every* member of a group even though the plural name will be only
shown once. ... | def get_numbered_name(self, count, looker, **kwargs):
"""
Return the numbered (singular, plural) forms of this object's key. This is by default called
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DefaultObject.search | (self, searchdata,
global_search=False,
use_nicks=True,
typeclass=None,
location=None,
attribute_name=None,
quiet=False,
exact=False,
candidates=None,
nofound_string=None,
... |
Returns an Object matching a search string/condition
Perform a standard object search in the database, handling
multiple results and lack thereof gracefully. By default, only
objects in the current `location` of `self` or its inventory are searched for.
Args:
searc... |
Returns an Object matching a search string/condition | def search(self, searchdata,
global_search=False,
use_nicks=True,
typeclass=None,
location=None,
attribute_name=None,
quiet=False,
exact=False,
candidates=None,
nofound_string=None,
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DefaultObject.search_account | (self, searchdata, quiet=False) |
Simple shortcut wrapper to search for accounts, not characters.
Args:
searchdata (str): Search criterion - the key or dbref of the account
to search for. If this is "here" or "me", search
for the account connected to this object.
quiet (bool): Re... |
Simple shortcut wrapper to search for accounts, not characters. | def search_account(self, searchdata, quiet=False):
"""
Simple shortcut wrapper to search for accounts, not characters.
Args:
searchdata (str): Search criterion - the key or dbref of the account
to search for. If this is "here" or "me", search
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DefaultObject.execute_cmd | (self, raw_string, session=None, **kwargs) |
Do something as this object. This is never called normally,
it's only used when wanting specifically to let an object be
the caller of a command. It makes use of nicks of eventual
connected accounts as well.
Args:
raw_string (string): Raw command input
s... |
Do something as this object. This is never called normally,
it's only used when wanting specifically to let an object be
the caller of a command. It makes use of nicks of eventual
connected accounts as well. | def execute_cmd(self, raw_string, session=None, **kwargs):
"""
Do something as this object. This is never called normally,
it's only used when wanting specifically to let an object be
the caller of a command. It makes use of nicks of eventual
connected accounts as well.
... | [
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DefaultObject.msg | (self, text=None, from_obj=None, session=None, options=None, **kwargs) |
Emits something to a session attached to the object.
Args:
text (str or tuple, optional): The message to send. This
is treated internally like any send-command, so its
value can be a tuple if sending multiple arguments to
the `text` oob comma... |
Emits something to a session attached to the object. | def msg(self, text=None, from_obj=None, session=None, options=None, **kwargs):
"""
Emits something to a session attached to the object.
Args:
text (str or tuple, optional): The message to send. This
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DefaultObject.for_contents | (self, func, exclude=None, **kwargs) |
Runs a function on every object contained within this one.
Args:
func (callable): Function to call. This must have the
formal call sign func(obj, **kwargs), where obj is the
object currently being processed and `**kwargs` are
passed on from t... |
Runs a function on every object contained within this one. | def for_contents(self, func, exclude=None, **kwargs):
"""
Runs a function on every object contained within this one.
Args:
func (callable): Function to call. This must have the
formal call sign func(obj, **kwargs), where obj is the
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DefaultObject.msg_contents | (self, text=None, exclude=None, from_obj=None, mapping=None, **kwargs) |
Emits a message to all objects inside this object.
Args:
text (str or tuple): Message to send. If a tuple, this should be
on the valid OOB outmessage form `(message, {kwargs})`,
where kwargs are optional data passed to the `text`
outputfunc.
... |
Emits a message to all objects inside this object. | def msg_contents(self, text=None, exclude=None, from_obj=None, mapping=None, **kwargs):
"""
Emits a message to all objects inside this object.
Args:
text (str or tuple): Message to send. If a tuple, this should be
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