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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
test_form_cannot_connect | (hass) | Test we handle cannot connect error. | Test we handle cannot connect error. | async def test_form_cannot_connect(hass):
"""Test we handle cannot connect error."""
result = await hass.config_entries.flow.async_init(
DOMAIN, context={"source": config_entries.SOURCE_USER}
)
with patch(
"homeassistant.components.volumio.config_flow.Volumio.get_system_info",
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test_form_exception | (hass) | Test we handle generic error. | Test we handle generic error. | async def test_form_exception(hass):
"""Test we handle generic error."""
result = await hass.config_entries.flow.async_init(
DOMAIN, context={"source": config_entries.SOURCE_USER}
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with patch(
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170,
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test_discovery | (hass) | Test discovery flow works. | Test discovery flow works. | async def test_discovery(hass):
"""Test discovery flow works."""
result = await hass.config_entries.flow.async_init(
DOMAIN, context={"source": "zeroconf"}, data=TEST_DISCOVERY
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with patch(
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test_discovery_cannot_connect | (hass) | Test discovery aborts if cannot connect. | Test discovery aborts if cannot connect. | async def test_discovery_cannot_connect(hass):
"""Test discovery aborts if cannot connect."""
result = await hass.config_entries.flow.async_init(
DOMAIN, context={"source": "zeroconf"}, data=TEST_DISCOVERY
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test_discovery_duplicate_data | (hass) | Test discovery aborts if same mDNS packet arrives. | Test discovery aborts if same mDNS packet arrives. | async def test_discovery_duplicate_data(hass):
"""Test discovery aborts if same mDNS packet arrives."""
result = await hass.config_entries.flow.async_init(
DOMAIN, context={"source": "zeroconf"}, data=TEST_DISCOVERY
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assert result["type"] == "form"
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test_discovery_updates_unique_id | (hass) | Test a duplicate discovery id aborts and updates existing entry. | Test a duplicate discovery id aborts and updates existing entry. | async def test_discovery_updates_unique_id(hass):
"""Test a duplicate discovery id aborts and updates existing entry."""
entry = MockConfigEntry(
domain=DOMAIN,
unique_id=TEST_DISCOVERY_RESULT["id"],
data={
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GridSearchTuner._json2parameter | (self, ss_spec) |
Generate all possible configs for hyperparameters from hyperparameter space.
Parameters
----------
ss_spec : dict or list
Hyperparameter space or the ``_value`` of a hyperparameter
Returns
-------
list or dict
All the candidate choices o... |
Generate all possible configs for hyperparameters from hyperparameter space. | def _json2parameter(self, ss_spec):
"""
Generate all possible configs for hyperparameters from hyperparameter space.
Parameters
----------
ss_spec : dict or list
Hyperparameter space or the ``_value`` of a hyperparameter
Returns
-------
list ... | [
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GridSearchTuner._parse_quniform | (self, param_value) |
Parse type of quniform parameter and return a list
|
Parse type of quniform parameter and return a list
| def _parse_quniform(self, param_value):
"""
Parse type of quniform parameter and return a list
"""
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GridSearchTuner._parse_randint | (self, param_value) |
Parse type of randint parameter and return a list
|
Parse type of randint parameter and return a list
| def _parse_randint(self, param_value):
"""
Parse type of randint parameter and return a list
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GridSearchTuner._expand_parameters | (self, para) |
Enumerate all possible combinations of all parameters
Parameters
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para : dict
{key1: [v11, v12, ...], key2: [v21, v22, ...], ...}
Returns
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dict
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Enumerate all possible combinations of all parameters | def _expand_parameters(self, para):
"""
Enumerate all possible combinations of all parameters
Parameters
----------
para : dict
{key1: [v11, v12, ...], key2: [v21, v22, ...], ...}
Returns
-------
dict
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GridSearchTuner.update_search_space | (self, search_space) |
Check if the search space is valid and expand it: support only ``choice``, ``quniform``, ``randint``.
Parameters
----------
search_space : dict
The format could be referred to search space spec (https://nni.readthedocs.io/en/latest/Tutorial/SearchSpaceSpec.html).
|
Check if the search space is valid and expand it: support only ``choice``, ``quniform``, ``randint``. | def update_search_space(self, search_space):
"""
Check if the search space is valid and expand it: support only ``choice``, ``quniform``, ``randint``.
Parameters
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search_space : dict
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GridSearchTuner.generate_parameters | (self, parameter_id, **kwargs) |
Generate parameters for one trial.
Parameters
----------
parameter_id : int
The id for the generated hyperparameter
**kwargs
Not used
Returns
-------
dict
One configuration from the expanded search space.
Rai... |
Generate parameters for one trial. | def generate_parameters(self, parameter_id, **kwargs):
"""
Generate parameters for one trial.
Parameters
----------
parameter_id : int
The id for the generated hyperparameter
**kwargs
Not used
Returns
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dict
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GridSearchTuner.receive_trial_result | (self, parameter_id, parameters, value, **kwargs) |
Receive a trial's final performance result reported through :func:`~nni.report_final_result` by the trial.
GridSearchTuner does not need trial's results.
|
Receive a trial's final performance result reported through :func:`~nni.report_final_result` by the trial.
GridSearchTuner does not need trial's results.
| def receive_trial_result(self, parameter_id, parameters, value, **kwargs):
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Receive a trial's final performance result reported through :func:`~nni.report_final_result` by the trial.
GridSearchTuner does not need trial's results.
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GridSearchTuner.import_data | (self, data) |
Import additional data for tuning
Parameters
----------
list
A list of dictionarys, each of which has at least two keys, ``parameter`` and ``value``
|
Import additional data for tuning | def import_data(self, data):
"""
Import additional data for tuning
Parameters
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list
A list of dictionarys, each of which has at least two keys, ``parameter`` and ``value``
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async_get_service | (hass, config, discovery_info=None) | Get the notification service. | Get the notification service. | async def async_get_service(hass, config, discovery_info=None):
"""Get the notification service."""
if discovery_info is None:
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return TplinkNotifyService(hass, discovery_info) | [
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async_setup | (hass, config) | Track states and offer events for calendars. | Track states and offer events for calendars. | async def async_setup(hass, config):
"""Track states and offer events for calendars."""
component = hass.data[DOMAIN] = EntityComponent(
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hass.http.register_view(CalendarListView(component))
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async_setup_entry | (hass, entry) | Set up a config entry. | Set up a config entry. | async def async_setup_entry(hass, entry):
"""Set up a config entry."""
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async_unload_entry | (hass, entry) | Unload a config entry. | Unload a config entry. | async def async_unload_entry(hass, entry):
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get_date | (date) | Get the dateTime from date or dateTime as a local. | Get the dateTime from date or dateTime as a local. | def get_date(date):
"""Get the dateTime from date or dateTime as a local."""
if "date" in date:
return dt.start_of_local_day(
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normalize_event | (event) | Normalize a calendar event. | Normalize a calendar event. | def normalize_event(event):
"""Normalize a calendar event."""
normalized_event = {}
start = event.get("start")
end = event.get("end")
start = get_date(start) if start is not None else None
end = get_date(end) if end is not None else None
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calculate_offset | (event, offset) | Calculate event offset.
Return the updated event with the offset_time included.
| Calculate event offset. | def calculate_offset(event, offset):
"""Calculate event offset.
Return the updated event with the offset_time included.
"""
summary = event.get("summary", "")
# check if we have an offset tag in the message
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is_offset_reached | (event) | Have we reached the offset time specified in the event title. | Have we reached the offset time specified in the event title. | def is_offset_reached(event):
"""Have we reached the offset time specified in the event title."""
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CalendarEventDevice.event | (self) | Return the next upcoming event. | Return the next upcoming event. | def event(self):
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CalendarEventDevice.state_attributes | (self) | Return the entity state attributes. | Return the entity state attributes. | def state_attributes(self):
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event = self.event
if event is None:
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event = normalize_event(event)
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CalendarEventDevice.state | (self) | Return the state of the calendar event. | Return the state of the calendar event. | def state(self):
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CalendarEventDevice.async_get_events | (self, hass, start_date, end_date) | Return calendar events within a datetime range. | Return calendar events within a datetime range. | async def async_get_events(self, hass, start_date, end_date):
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CalendarEventView.__init__ | (self, component: EntityComponent) | Initialize calendar view. | Initialize calendar view. | def __init__(self, component: EntityComponent) -> None:
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CalendarEventView.get | (self, request, entity_id) | Return calendar events. | Return calendar events. | async def get(self, request, entity_id):
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CalendarListView.__init__ | (self, component: EntityComponent) | Initialize calendar view. | Initialize calendar view. | def __init__(self, component: EntityComponent) -> None:
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CalendarListView.get | (self, request: web.Request) | Retrieve calendar list. | Retrieve calendar list. | async def get(self, request: web.Request) -> web.Response:
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safe_read | (
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| Swallow all exceptions from network read. | async def safe_read(
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get_matched_clusters | (
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async_is_bindable_target | (source_zha_device, target_zha_device) | Determine if target is bindable to source. | Determine if target is bindable to source. | def async_is_bindable_target(source_zha_device, target_zha_device):
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async_get_zha_device | (hass, device_id) | Get a ZHA device for the given device registry id. | Get a ZHA device for the given device registry id. | async def async_get_zha_device(hass, device_id):
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find_state_attributes | (states: List[State], key: str) | Find attributes with matching key from states. | Find attributes with matching key from states. | def find_state_attributes(states: List[State], key: str) -> Iterator[Any]:
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mean_int | (*args) | Return the mean of the supplied values. | Return the mean of the supplied values. | def mean_int(*args):
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mean_tuple | (*args) | Return the mean values along the columns of the supplied values. | Return the mean values along the columns of the supplied values. | def mean_tuple(*args):
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reduce_attribute | (
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reduce: Callable[..., Any] = mean_int,
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retryable_req | (
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This adds delays keyword argument to function.
len(delays) is number of tries.
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| Make a method with ZCL requests retryable. | def retryable_req(
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convert_install_code | (value: str) | Convert string to install code bytes and validate length. | Convert string to install code bytes and validate length. | def convert_install_code(value: str) -> bytes:
"""Convert string to install code bytes and validate length."""
try:
code = binascii.unhexlify(value.replace("-", "").lower())
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qr_to_install_code | (qr_code: str) | Try to parse the QR code.
if successful, return a tuple of a EUI64 address and install code.
| Try to parse the QR code. | def qr_to_install_code(qr_code: str) -> Tuple[zigpy.types.EUI64, bytes]:
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LogMixin.log | (self, level, msg, *args) | Log with level. | Log with level. | def log(self, level, msg, *args):
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LogMixin.debug | (self, msg, *args) | Debug level log. | Debug level log. | def debug(self, msg, *args):
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LogMixin.info | (self, msg, *args) | Info level log. | Info level log. | def info(self, msg, *args):
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LogMixin.warning | (self, msg, *args) | Warning method log. | Warning method log. | def warning(self, msg, *args):
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LogMixin.error | (self, msg, *args) | Error level log. | Error level log. | def error(self, msg, *args):
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async_setup_entity_basic | (
hass, config, async_add_entities, config_entry, discovery_data=None
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hass, config, async_add_entities, config_entry, discovery_data=None
):
"""Set up a MQTT Light."""
if CONF_STATE_VALUE_TEMPLATE not in config and CONF_VALUE_TEMPLATE in config:
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MqttLight.__init__ | (self, hass, config, config_entry, discovery_data) | Initialize MQTT light. | Initialize MQTT light. | def __init__(self, hass, config, config_entry, discovery_data):
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MqttLight.async_added_to_hass | (self) | Subscribe to MQTT events. | Subscribe to MQTT events. | async def async_added_to_hass(self):
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MqttLight.discovery_update | (self, discovery_payload) | Handle updated discovery message. | Handle updated discovery message. | async def discovery_update(self, discovery_payload):
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MqttLight._setup_from_config | (self, config) | (Re)Setup the entity. | (Re)Setup the entity. | def _setup_from_config(self, config):
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topic = {
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MqttLight._subscribe_topics | (self) | (Re)Subscribe to topics. | (Re)Subscribe to topics. | async def _subscribe_topics(self):
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MqttLight.async_will_remove_from_hass | (self) | Unsubscribe when removed. | Unsubscribe when removed. | async def async_will_remove_from_hass(self):
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MqttLight.brightness | (self) | Return the brightness of this light between 0..255. | Return the brightness of this light between 0..255. | def brightness(self):
"""Return the brightness of this light between 0..255."""
brightness = self._brightness
if brightness:
brightness = min(round(brightness), 255)
return brightness | [
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MqttLight.hs_color | (self) | Return the hs color value. | Return the hs color value. | def hs_color(self):
"""Return the hs color value."""
if self._white_value:
return None
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MqttLight.color_temp | (self) | Return the color temperature in mired. | Return the color temperature in mired. | def color_temp(self):
"""Return the color temperature in mired."""
supports_color = (
self._topic[CONF_RGB_COMMAND_TOPIC]
or self._topic[CONF_HS_COMMAND_TOPIC]
or self._topic[CONF_XY_COMMAND_TOPIC]
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MqttLight.min_mireds | (self) | Return the coldest color_temp that this light supports. | Return the coldest color_temp that this light supports. | def min_mireds(self):
"""Return the coldest color_temp that this light supports."""
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MqttLight.max_mireds | (self) | Return the warmest color_temp that this light supports. | Return the warmest color_temp that this light supports. | def max_mireds(self):
"""Return the warmest color_temp that this light supports."""
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MqttLight.white_value | (self) | Return the white property. | Return the white property. | def white_value(self):
"""Return the white property."""
white_value = self._white_value
if white_value:
white_value = min(round(white_value), 255)
return white_value
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MqttLight.should_poll | (self) | No polling needed for a MQTT light. | No polling needed for a MQTT light. | def should_poll(self):
"""No polling needed for a MQTT light."""
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MqttLight.name | (self) | Return the name of the device if any. | Return the name of the device if any. | def name(self):
"""Return the name of the device if any."""
return self._config[CONF_NAME] | [
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MqttLight.unique_id | (self) | Return a unique ID. | Return a unique ID. | def unique_id(self):
"""Return a unique ID."""
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MqttLight.is_on | (self) | Return true if device is on. | Return true if device is on. | def is_on(self):
"""Return true if device is on."""
return self._state | [
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MqttLight.assumed_state | (self) | Return true if we do optimistic updates. | Return true if we do optimistic updates. | def assumed_state(self):
"""Return true if we do optimistic updates."""
return self._optimistic | [
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MqttLight.effect_list | (self) | Return the list of supported effects. | Return the list of supported effects. | def effect_list(self):
"""Return the list of supported effects."""
return self._config.get(CONF_EFFECT_LIST) | [
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MqttLight.effect | (self) | Return the current effect. | Return the current effect. | def effect(self):
"""Return the current effect."""
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MqttLight.supported_features | (self) | Flag supported features. | Flag supported features. | def supported_features(self):
"""Flag supported features."""
supported_features = 0
supported_features |= self._topic[CONF_RGB_COMMAND_TOPIC] is not None and (
SUPPORT_COLOR | SUPPORT_BRIGHTNESS
)
supported_features |= (
self._topic[CONF_BRIGHTNESS_COMMAND... | [
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MqttLight.async_turn_on | (self, **kwargs) | Turn the device on.
This method is a coroutine.
| Turn the device on. | async def async_turn_on(self, **kwargs):
"""Turn the device on.
This method is a coroutine.
"""
should_update = False
on_command_type = self._config[CONF_ON_COMMAND_TYPE]
if on_command_type == "first":
mqtt.async_publish(
self.hass,
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MqttLight.async_turn_off | (self, **kwargs) | Turn the device off.
This method is a coroutine.
| Turn the device off. | async def async_turn_off(self, **kwargs):
"""Turn the device off.
This method is a coroutine.
"""
mqtt.async_publish(
self.hass,
self._topic[CONF_COMMAND_TOPIC],
self._payload["off"],
self._config[CONF_QOS],
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setup_platform | (hass, config, add_entities, discovery_info=None) | Set up the XBee Zigbee binary sensor platform. | Set up the XBee Zigbee binary sensor platform. | def setup_platform(hass, config, add_entities, discovery_info=None):
"""Set up the XBee Zigbee binary sensor platform."""
zigbee_device = hass.data[DOMAIN]
add_entities([XBeeBinarySensor(XBeeDigitalInConfig(config), zigbee_device)], True) | [
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device_reg | (hass) | Return an empty, loaded, registry. | Return an empty, loaded, registry. | def device_reg(hass):
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entity_reg | (hass) | Return an empty, loaded, registry. | Return an empty, loaded, registry. | def entity_reg(hass):
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test_get_actions | (hass, device_reg, entity_reg) | Test we get the expected actions from a vacuum. | Test we get the expected actions from a vacuum. | async def test_get_actions(hass, device_reg, entity_reg):
"""Test we get the expected actions from a vacuum."""
config_entry = MockConfigEntry(domain="test", data={})
config_entry.add_to_hass(hass)
device_entry = device_reg.async_get_or_create(
config_entry_id=config_entry.entry_id,
conn... | [
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test_action | (hass) | Test for turn_on and turn_off actions. | Test for turn_on and turn_off actions. | async def test_action(hass):
"""Test for turn_on and turn_off actions."""
assert await async_setup_component(
hass,
automation.DOMAIN,
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automation.DOMAIN: [
{
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kill_raspistill | (*args) | Kill any previously running raspistill process.. | Kill any previously running raspistill process.. | def kill_raspistill(*args):
"""Kill any previously running raspistill process.."""
subprocess.Popen(
["killall", "raspistill"], stdout=subprocess.DEVNULL, stderr=subprocess.STDOUT
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setup_platform | (hass, config, add_entities, discovery_info=None) | Set up the Raspberry Camera. | Set up the Raspberry Camera. | def setup_platform(hass, config, add_entities, discovery_info=None):
"""Set up the Raspberry Camera."""
# We only want this platform to be set up via discovery.
# prevent initializing by erroneous platform config section in yaml conf
if discovery_info is None:
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if shutil.which("raspis... | [
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RaspberryCamera.__init__ | (self, device_info) | Initialize Raspberry Pi camera component. | Initialize Raspberry Pi camera component. | def __init__(self, device_info):
"""Initialize Raspberry Pi camera component."""
super().__init__()
self._name = device_info[CONF_NAME]
self._config = device_info
# Kill if there's raspistill instance
kill_raspistill()
cmd_args = [
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RaspberryCamera.camera_image | (self) | Return raspistill image response. | Return raspistill image response. | def camera_image(self):
"""Return raspistill image response."""
with open(self._config[CONF_FILE_PATH], "rb") as file:
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RaspberryCamera.name | (self) | Return the name of this camera. | Return the name of this camera. | def name(self):
"""Return the name of this camera."""
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RaspberryCamera.frame_interval | (self) | Return the interval between frames of the stream. | Return the interval between frames of the stream. | def frame_interval(self):
"""Return the interval between frames of the stream."""
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int64_feature | (values) | Returns a TF-Feature of int64s.
Args:
values: A scalar or list of values.
Returns:
A TF-Feature.
| Returns a TF-Feature of int64s. | def int64_feature(values):
"""Returns a TF-Feature of int64s.
Args:
values: A scalar or list of values.
Returns:
A TF-Feature.
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if not isinstance(values, (tuple, list)):
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bytes_list_feature | (values) | Returns a TF-Feature of list of bytes.
Args:
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Returns:
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| Returns a TF-Feature of list of bytes. | def bytes_list_feature(values):
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float_list_feature | (values) | Returns a TF-Feature of list of floats.
Args:
values: A float or list of floats.
Returns:
A TF-Feature.
| Returns a TF-Feature of list of floats. | def float_list_feature(values):
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bytes_feature | (values) | Returns a TF-Feature of bytes.
Args:
values: A string.
Returns:
A TF-Feature.
| Returns a TF-Feature of bytes. | def bytes_feature(values):
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float_feature | (values) | Returns a TF-Feature of floats.
Args:
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Returns:
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| Returns a TF-Feature of floats. | def float_feature(values):
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80,
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91,
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download_url | (url, dataset_dir) | Downloads the tarball or zip file from url into filepath.
Args:
url: The URL of a tarball or zip file.
dataset_dir: The directory where the temporary files are stored.
Returns:
filepath: path where the file is downloaded.
| Downloads the tarball or zip file from url into filepath. | def download_url(url, dataset_dir):
"""Downloads the tarball or zip file from url into filepath.
Args:
url: The URL of a tarball or zip file.
dataset_dir: The directory where the temporary files are stored.
Returns:
filepath: path where the file is downloaded.
"""
filename = url.split('/')[-1]
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download_and_uncompress_tarball | (tarball_url, dataset_dir) | Downloads the `tarball_url` and uncompresses it locally.
Args:
tarball_url: The URL of a tarball file.
dataset_dir: The directory where the temporary files are stored.
| Downloads the `tarball_url` and uncompresses it locally. | def download_and_uncompress_tarball(tarball_url, dataset_dir):
"""Downloads the `tarball_url` and uncompresses it locally.
Args:
tarball_url: The URL of a tarball file.
dataset_dir: The directory where the temporary files are stored.
"""
filepath = download_url(tarball_url, dataset_dir)
tarfile.open(... | [
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download_and_uncompress_zipfile | (zip_url, dataset_dir) | Downloads the `zip_url` and uncompresses it locally.
Args:
zip_url: The URL of a zip file.
dataset_dir: The directory where the temporary files are stored.
| Downloads the `zip_url` and uncompresses it locally. | def download_and_uncompress_zipfile(zip_url, dataset_dir):
"""Downloads the `zip_url` and uncompresses it locally.
Args:
zip_url: The URL of a zip file.
dataset_dir: The directory where the temporary files are stored.
"""
filename = zip_url.split('/')[-1]
filepath = os.path.join(dataset_dir, filename... | [
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write_label_file | (labels_to_class_names,
dataset_dir,
filename=LABELS_FILENAME) | Writes a file with the list of class names.
Args:
labels_to_class_names: A map of (integer) labels to class names.
dataset_dir: The directory in which the labels file should be written.
filename: The filename where the class names are written.
| Writes a file with the list of class names. | def write_label_file(labels_to_class_names,
dataset_dir,
filename=LABELS_FILENAME):
"""Writes a file with the list of class names.
Args:
labels_to_class_names: A map of (integer) labels to class names.
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has_labels | (dataset_dir, filename=LABELS_FILENAME) | Specifies whether or not the dataset directory contains a label map file.
Args:
dataset_dir: The directory in which the labels file is found.
filename: The filename where the class names are written.
Returns:
`True` if the labels file exists and `False` otherwise.
| Specifies whether or not the dataset directory contains a label map file. | def has_labels(dataset_dir, filename=LABELS_FILENAME):
"""Specifies whether or not the dataset directory contains a label map file.
Args:
dataset_dir: The directory in which the labels file is found.
filename: The filename where the class names are written.
Returns:
`True` if the labels file exists ... | [
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read_label_file | (dataset_dir, filename=LABELS_FILENAME) | Reads the labels file and returns a mapping from ID to class name.
Args:
dataset_dir: The directory in which the labels file is found.
filename: The filename where the class names are written.
Returns:
A map from a label (integer) to class name.
| Reads the labels file and returns a mapping from ID to class name. | def read_label_file(dataset_dir, filename=LABELS_FILENAME):
"""Reads the labels file and returns a mapping from ID to class name.
Args:
dataset_dir: The directory in which the labels file is found.
filename: The filename where the class names are written.
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open_sharded_output_tfrecords | (exit_stack, base_path, num_shards) | Opens all TFRecord shards for writing and adds them to an exit stack.
Args:
exit_stack: A context2.ExitStack used to automatically closed the TFRecords
opened in this function.
base_path: The base path for all shards
num_shards: The number of shards
Returns:
The list of opened TFRecords. Pos... | Opens all TFRecord shards for writing and adds them to an exit stack. | def open_sharded_output_tfrecords(exit_stack, base_path, num_shards):
"""Opens all TFRecord shards for writing and adds them to an exit stack.
Args:
exit_stack: A context2.ExitStack used to automatically closed the TFRecords
opened in this function.
base_path: The base path for all shards
num_sha... | [
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] | [
239,
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init_integration | (hass) | Set up the Dexcom integration in Home Assistant. | Set up the Dexcom integration in Home Assistant. | async def init_integration(hass) -> MockConfigEntry:
"""Set up the Dexcom integration in Home Assistant."""
entry = MockConfigEntry(
domain=DOMAIN,
title="test_username",
unique_id="test_username",
data=CONFIG,
options=None,
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with patch(
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41,
16
] | python | en | ['en', 'en', 'en'] | True |
async_setup_platform | (hass, config, async_add_entities, discovery_info=None) | Set up the SPC binary sensor. | Set up the SPC binary sensor. | async def async_setup_platform(hass, config, async_add_entities, discovery_info=None):
"""Set up the SPC binary sensor."""
if discovery_info is None:
return
api = hass.data[DATA_API]
async_add_entities(
[
SpcBinarySensor(zone)
for zone in api.zones.values()
... | [
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24,
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] | [
35,
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] | python | en | ['en', 'haw', 'en'] | True |
SpcBinarySensor.__init__ | (self, zone) | Initialize the sensor device. | Initialize the sensor device. | def __init__(self, zone):
"""Initialize the sensor device."""
self._zone = zone | [
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SpcBinarySensor.async_added_to_hass | (self) | Call for adding new entities. | Call for adding new entities. | async def async_added_to_hass(self):
"""Call for adding new entities."""
self.async_on_remove(
async_dispatcher_connect(
self.hass,
SIGNAL_UPDATE_SENSOR.format(self._zone.id),
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SpcBinarySensor._update_callback | (self) | Call update method. | Call update method. | def _update_callback(self):
"""Call update method."""
self.async_schedule_update_ha_state(True) | [
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SpcBinarySensor.name | (self) | Return the name of the device. | Return the name of the device. | def name(self):
"""Return the name of the device."""
return self._zone.name | [
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SpcBinarySensor.is_on | (self) | Whether the device is switched on. | Whether the device is switched on. | def is_on(self):
"""Whether the device is switched on."""
return self._zone.input == ZoneInput.OPEN | [
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SpcBinarySensor.should_poll | (self) | No polling needed. | No polling needed. | def should_poll(self):
"""No polling needed."""
return False | [
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] | python | en | ['en', 'en', 'en'] | True |
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