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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
MQTTRoomSensor.update | (self) | Update the state for absent devices. | Update the state for absent devices. | def update(self):
"""Update the state for absent devices."""
if (
self._updated
and self._consider_home
and dt.utcnow() - self._updated > self._consider_home
):
self._state = STATE_NOT_HOME | [
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setup_platform | (hass, config, add_entities, discovery_info=None) | Set up the Alpha Vantage sensor. | Set up the Alpha Vantage sensor. | def setup_platform(hass, config, add_entities, discovery_info=None):
"""Set up the Alpha Vantage sensor."""
api_key = config[CONF_API_KEY]
symbols = config.get(CONF_SYMBOLS, [])
conversions = config.get(CONF_FOREIGN_EXCHANGE, [])
if not symbols and not conversions:
msg = "No symbols or curr... | [
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AlphaVantageSensor.__init__ | (self, timeseries, symbol) | Initialize the sensor. | Initialize the sensor. | def __init__(self, timeseries, symbol):
"""Initialize the sensor."""
self._symbol = symbol[CONF_SYMBOL]
self._name = symbol.get(CONF_NAME, self._symbol)
self._timeseries = timeseries
self.values = None
self._unit_of_measurement = symbol.get(CONF_CURRENCY, self._symbol)
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AlphaVantageSensor.name | (self) | Return the name of the sensor. | Return the name of the sensor. | def name(self):
"""Return the name of the sensor."""
return self._name | [
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AlphaVantageSensor.unit_of_measurement | (self) | Return the unit of measurement of this entity, if any. | Return the unit of measurement of this entity, if any. | def unit_of_measurement(self):
"""Return the unit of measurement of this entity, if any."""
return self._unit_of_measurement | [
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AlphaVantageSensor.state | (self) | Return the state of the sensor. | Return the state of the sensor. | def state(self):
"""Return the state of the sensor."""
return self.values["1. open"] | [
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AlphaVantageSensor.device_state_attributes | (self) | Return the state attributes. | Return the state attributes. | def device_state_attributes(self):
"""Return the state attributes."""
if self.values is not None:
return {
ATTR_ATTRIBUTION: ATTRIBUTION,
ATTR_CLOSE: self.values["4. close"],
ATTR_HIGH: self.values["2. high"],
ATTR_LOW: self.val... | [
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AlphaVantageSensor.icon | (self) | Return the icon to use in the frontend, if any. | Return the icon to use in the frontend, if any. | def icon(self):
"""Return the icon to use in the frontend, if any."""
return self._icon | [
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25
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AlphaVantageSensor.update | (self) | Get the latest data and updates the states. | Get the latest data and updates the states. | def update(self):
"""Get the latest data and updates the states."""
_LOGGER.debug("Requesting new data for symbol %s", self._symbol)
all_values, _ = self._timeseries.get_intraday(self._symbol)
self.values = next(iter(all_values.values()))
_LOGGER.debug("Received new values for sy... | [
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AlphaVantageForeignExchange.__init__ | (self, foreign_exchange, config) | Initialize the sensor. | Initialize the sensor. | def __init__(self, foreign_exchange, config):
"""Initialize the sensor."""
self._foreign_exchange = foreign_exchange
self._from_currency = config[CONF_FROM]
self._to_currency = config[CONF_TO]
if CONF_NAME in config:
self._name = config.get(CONF_NAME)
else:
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AlphaVantageForeignExchange.name | (self) | Return the name of the sensor. | Return the name of the sensor. | def name(self):
"""Return the name of the sensor."""
return self._name | [
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AlphaVantageForeignExchange.unit_of_measurement | (self) | Return the unit of measurement of this entity, if any. | Return the unit of measurement of this entity, if any. | def unit_of_measurement(self):
"""Return the unit of measurement of this entity, if any."""
return self._unit_of_measurement | [
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40
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AlphaVantageForeignExchange.state | (self) | Return the state of the sensor. | Return the state of the sensor. | def state(self):
"""Return the state of the sensor."""
return round(float(self.values["5. Exchange Rate"]), 4) | [
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AlphaVantageForeignExchange.icon | (self) | Return the icon to use in the frontend, if any. | Return the icon to use in the frontend, if any. | def icon(self):
"""Return the icon to use in the frontend, if any."""
return self._icon | [
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AlphaVantageForeignExchange.device_state_attributes | (self) | Return the state attributes. | Return the state attributes. | def device_state_attributes(self):
"""Return the state attributes."""
if self.values is not None:
return {
ATTR_ATTRIBUTION: ATTRIBUTION,
CONF_FROM: self._from_currency,
CONF_TO: self._to_currency,
} | [
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202,
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AlphaVantageForeignExchange.update | (self) | Get the latest data and updates the states. | Get the latest data and updates the states. | def update(self):
"""Get the latest data and updates the states."""
_LOGGER.debug(
"Requesting new data for forex %s - %s",
self._from_currency,
self._to_currency,
)
self.values, _ = self._foreign_exchange.get_currency_exchange_rate(
from_c... | [
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218,
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create_lat_lons_for_NZTMgrid | (extent_w=1.2e6, extent_e=1.4e6, extent_n=5.13e6, extent_s=4.82e6, resolution=250) | create grids of latitude and longitude corresponding to grid centres of data in nztm grid
| create grids of latitude and longitude corresponding to grid centres of data in nztm grid
| def create_lat_lons_for_NZTMgrid(extent_w=1.2e6, extent_e=1.4e6, extent_n=5.13e6, extent_s=4.82e6, resolution=250):
"""create grids of latitude and longitude corresponding to grid centres of data in nztm grid
"""
# create coordinates
x_centres = np.arange(extent_w + resolution / 2, extent_e, resolution)... | [
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write_nztm_grids_to_netcdf | (fname, list_of_data_arrays, var_names, datetime_list, northings, eastings, lat_array,
lon_array, elevation, no_time=False) |
Write a netCDF file containing fractional snow covered area data
:param fname: string, full pathname of file to be created
:param list_of_data_arrays: list, list containing data arrays to be saved [[time, northings, eastings],[time, northings, eastings]]
:param var_names: list of strings corresponding ... |
Write a netCDF file containing fractional snow covered area data
:param fname: string, full pathname of file to be created
:param list_of_data_arrays: list, list containing data arrays to be saved [[time, northings, eastings],[time, northings, eastings]]
:param var_names: list of strings corresponding ... | def write_nztm_grids_to_netcdf(fname, list_of_data_arrays, var_names, datetime_list, northings, eastings, lat_array,
lon_array, elevation, no_time=False):
"""
Write a netCDF file containing fractional snow covered area data
:param fname: string, full pathname of file to be cre... | [
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setup_nztm_grid_netcdf | (fname, list_of_data_arrays, var_names, datetime_list, northings, eastings, lat_array,
lon_array, elevation, no_time=False) |
Write a netCDF file containing fractional snow covered area data
:param fname: string, full pathname of file to be created
:param list_of_data_arrays: list, list containing data arrays to be saved [[time, northings, eastings],[time, northings, eastings]]
:param var_names: list of strings corresponding ... |
Write a netCDF file containing fractional snow covered area data
:param fname: string, full pathname of file to be created
:param list_of_data_arrays: list, list containing data arrays to be saved [[time, northings, eastings],[time, northings, eastings]]
:param var_names: list of strings corresponding ... | def setup_nztm_grid_netcdf(fname, list_of_data_arrays, var_names, datetime_list, northings, eastings, lat_array,
lon_array, elevation, no_time=False):
"""
Write a netCDF file containing fractional snow covered area data
:param fname: string, full pathname of file to be created... | [
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setup_platform | (hass, config, add_entities, discovery_info=None) | Set up the Blinkt Light platform. | Set up the Blinkt Light platform. | def setup_platform(hass, config, add_entities, discovery_info=None):
"""Set up the Blinkt Light platform."""
# pylint: disable=no-member
blinkt = importlib.import_module("blinkt")
# ensure that the lights are off when exiting
blinkt.set_clear_on_exit()
name = config[CONF_NAME]
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BlinktLight.__init__ | (self, blinkt, name, index) | Initialize a Blinkt Light.
Default brightness and white color.
| Initialize a Blinkt Light. | def __init__(self, blinkt, name, index):
"""Initialize a Blinkt Light.
Default brightness and white color.
"""
self._blinkt = blinkt
self._name = f"{name}_{index}"
self._index = index
self._is_on = False
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self._hs_color = [0,... | [
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BlinktLight.name | (self) | Return the display name of this light. | Return the display name of this light. | def name(self):
"""Return the display name of this light."""
return self._name | [
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BlinktLight.brightness | (self) | Read back the brightness of the light.
Returns integer in the range of 1-255.
| Read back the brightness of the light. | def brightness(self):
"""Read back the brightness of the light.
Returns integer in the range of 1-255.
"""
return self._brightness | [
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BlinktLight.hs_color | (self) | Read back the color of the light. | Read back the color of the light. | def hs_color(self):
"""Read back the color of the light."""
return self._hs_color | [
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BlinktLight.supported_features | (self) | Flag supported features. | Flag supported features. | def supported_features(self):
"""Flag supported features."""
return SUPPORT_BLINKT | [
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BlinktLight.is_on | (self) | Return true if light is on. | Return true if light is on. | def is_on(self):
"""Return true if light is on."""
return self._is_on | [
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BlinktLight.should_poll | (self) | Return if we should poll this device. | Return if we should poll this device. | def should_poll(self):
"""Return if we should poll this device."""
return False | [
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BlinktLight.assumed_state | (self) | Return True if unable to access real state of the entity. | Return True if unable to access real state of the entity. | def assumed_state(self) -> bool:
"""Return True if unable to access real state of the entity."""
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BlinktLight.turn_on | (self, **kwargs) | Instruct the light to turn on and set correct brightness & color. | Instruct the light to turn on and set correct brightness & color. | def turn_on(self, **kwargs):
"""Instruct the light to turn on and set correct brightness & color."""
if ATTR_HS_COLOR in kwargs:
self._hs_color = kwargs[ATTR_HS_COLOR]
if ATTR_BRIGHTNESS in kwargs:
self._brightness = kwargs[ATTR_BRIGHTNESS]
percent_bright = self.... | [
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BlinktLight.turn_off | (self, **kwargs) | Instruct the light to turn off. | Instruct the light to turn off. | def turn_off(self, **kwargs):
"""Instruct the light to turn off."""
self._blinkt.set_pixel(self._index, 0, 0, 0, 0)
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self.schedule_update_ha_state() | [
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test_min_sensor | (hass) | Test the min sensor. | Test the min sensor. | async def test_min_sensor(hass):
"""Test the min sensor."""
config = {
"sensor": {
"platform": "min_max",
"name": "test_min",
"type": "min",
"entity_ids": ["sensor.test_1", "sensor.test_2", "sensor.test_3"],
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"\"platform\"",
":",
"\"min_max\"",
",",
"\"name\"",
":",
"\"test_min\"",
",",
"\"type\"",
":",
"\"min\"",
",",
"\"entity_ids\"",
":",
"[",
"\"sensor.test_1\"... | [
29,
0
] | [
56,
51
] | python | en | ['en', 'sq', 'en'] | True |
test_max_sensor | (hass) | Test the max sensor. | Test the max sensor. | async def test_max_sensor(hass):
"""Test the max sensor."""
config = {
"sensor": {
"platform": "min_max",
"name": "test_max",
"type": "max",
"entity_ids": ["sensor.test_1", "sensor.test_2", "sensor.test_3"],
}
}
assert await async_setup_co... | [
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"test_max_sensor",
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",",
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"\"max\"",
",",
"\"entity_ids\"",
":",
"[",
"\"sensor.test_1\"... | [
59,
0
] | [
86,
51
] | python | en | ['en', 'ca', 'en'] | True |
test_mean_sensor | (hass) | Test the mean sensor. | Test the mean sensor. | async def test_mean_sensor(hass):
"""Test the mean sensor."""
config = {
"sensor": {
"platform": "min_max",
"name": "test_mean",
"type": "mean",
"entity_ids": ["sensor.test_1", "sensor.test_2", "sensor.test_3"],
}
}
assert await async_setu... | [
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"def",
"test_mean_sensor",
"(",
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",",
"\"type\"",
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"\"mean\"",
",",
"\"entity_ids\"",
":",
"[",
"\"sensor.test_... | [
89,
0
] | [
116,
51
] | python | en | ['en', 'da', 'en'] | True |
test_mean_1_digit_sensor | (hass) | Test the mean with 1-digit precision sensor. | Test the mean with 1-digit precision sensor. | async def test_mean_1_digit_sensor(hass):
"""Test the mean with 1-digit precision sensor."""
config = {
"sensor": {
"platform": "min_max",
"name": "test_mean",
"type": "mean",
"round_digits": 1,
"entity_ids": ["sensor.test_1", "sensor.test_2", ... | [
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"1",
",",
... | [
119,
0
] | [
147,
51
] | python | en | ['en', 'en', 'en'] | True |
test_mean_4_digit_sensor | (hass) | Test the mean with 1-digit precision sensor. | Test the mean with 1-digit precision sensor. | async def test_mean_4_digit_sensor(hass):
"""Test the mean with 1-digit precision sensor."""
config = {
"sensor": {
"platform": "min_max",
"name": "test_mean",
"type": "mean",
"round_digits": 4,
"entity_ids": ["sensor.test_1", "sensor.test_2", ... | [
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",",
... | [
150,
0
] | [
178,
51
] | python | en | ['en', 'en', 'en'] | True |
test_median_sensor | (hass) | Test the median sensor. | Test the median sensor. | async def test_median_sensor(hass):
"""Test the median sensor."""
config = {
"sensor": {
"platform": "min_max",
"name": "test_median",
"type": "median",
"entity_ids": ["sensor.test_1", "sensor.test_2", "sensor.test_3"],
}
}
assert await as... | [
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"\"median\"",
",",
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":",
"[",
"\"sensor... | [
181,
0
] | [
208,
47
] | python | en | ['en', 'da', 'en'] | True |
test_not_enough_sensor_value | (hass) | Test that there is nothing done if not enough values available. | Test that there is nothing done if not enough values available. | async def test_not_enough_sensor_value(hass):
"""Test that there is nothing done if not enough values available."""
config = {
"sensor": {
"platform": "min_max",
"name": "test_max",
"type": "max",
"entity_ids": ["sensor.test_1", "sensor.test_2", "sensor.te... | [
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",",
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":",
"[",
"\"se... | [
211,
0
] | [
266,
52
] | python | en | ['en', 'en', 'en'] | True |
test_different_unit_of_measurement | (hass) | Test for different unit of measurement. | Test for different unit of measurement. | async def test_different_unit_of_measurement(hass):
"""Test for different unit of measurement."""
config = {
"sensor": {
"platform": "min_max",
"name": "test",
"type": "mean",
"entity_ids": ["sensor.test_1", "sensor.test_2", "sensor.test_3"],
}
... | [
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"\"entity_ids\"",
":",
"[",
"\... | [
269,
0
] | [
313,
63
] | python | en | ['en', 'en', 'en'] | True |
test_last_sensor | (hass) | Test the last sensor. | Test the last sensor. | async def test_last_sensor(hass):
"""Test the last sensor."""
config = {
"sensor": {
"platform": "min_max",
"name": "test_last",
"type": "last",
"entity_ids": ["sensor.test_1", "sensor.test_2", "sensor.test_3"],
}
}
assert await async_setu... | [
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",",
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":",
"[",
"\"sensor.test_... | [
316,
0
] | [
342,
51
] | python | en | ['en', 'et', 'en'] | True |
test_reload | (hass) | Verify we can reload filter sensors. | Verify we can reload filter sensors. | async def test_reload(hass):
"""Verify we can reload filter sensors."""
hass.states.async_set("sensor.test_1", 12345)
hass.states.async_set("sensor.test_2", 45678)
await async_setup_component(
hass,
"sensor",
{
"sensor": {
"platform": "min_max",
... | [
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... | [
345,
0
] | [
385,
48
] | python | en | ['en', 'da', 'en'] | True |
test_water_heater | (
hass: HomeAssistant, aioclient_mock: AiohttpClientMocker
) | Test the creation of Atag water heater. | Test the creation of Atag water heater. | async def test_water_heater(
hass: HomeAssistant, aioclient_mock: AiohttpClientMocker
) -> None:
"""Test the creation of Atag water heater."""
with patch("pyatag.entities.DHW.status"):
entry = await init_integration(hass, aioclient_mock)
registry = await hass.helpers.entity_registry.async_ge... | [
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14,
0
] | [
24,
57
] | python | en | ['en', 'en', 'en'] | True |
test_setting_target_temperature | (
hass: HomeAssistant, aioclient_mock: AiohttpClientMocker
) | Test setting the water heater device. | Test setting the water heater device. | async def test_setting_target_temperature(
hass: HomeAssistant, aioclient_mock: AiohttpClientMocker
) -> None:
"""Test setting the water heater device."""
await init_integration(hass, aioclient_mock)
with patch("pyatag.entities.DHW.set_temp") as mock_set_temp:
await hass.services.async_call(
... | [
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"\"pyatag.ent... | [
27,
0
] | [
40,
49
] | python | en | ['en', 'en', 'en'] | True |
browse_media | (zone_id, roon_server, media_content_type=None, media_content_id=None) | Implement the websocket media browsing helper. | Implement the websocket media browsing helper. | def browse_media(zone_id, roon_server, media_content_type=None, media_content_id=None):
"""Implement the websocket media browsing helper."""
try:
_LOGGER.debug("browse_media: %s: %s", media_content_type, media_content_id)
if media_content_type in [None, "library"]:
return library_pay... | [
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"media_content_... | [
40,
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] | [
50,
18
] | python | en | ['en', 'af', 'en'] | True |
item_payload | (roon_server, item, list_image_id) | Create response payload for a single media item. | Create response payload for a single media item. | def item_payload(roon_server, item, list_image_id):
"""Create response payload for a single media item."""
title = item["title"]
subtitle = item.get("subtitle")
if subtitle is None:
display_title = title
else:
display_title = f"{title} ({subtitle})"
image_id = item.get("image_k... | [
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... | [
53,
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] | [
99,
33
] | python | en | ['en', 'en', 'en'] | True |
library_payload | (roon_server, zone_id, media_content_id) | Create response payload for the library. | Create response payload for the library. | def library_payload(roon_server, zone_id, media_content_id):
"""Create response payload for the library."""
opts = {
"hierarchy": "browse",
"zone_or_output_id": zone_id,
"count": ITEM_LIMIT,
}
# Roon starts browsing for a zone where it left off - so start from the top unless ot... | [
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"# Roon starts brows... | [
102,
0
] | [
162,
23
] | python | en | ['en', 'en', 'en'] | True |
BaseModel.init_weights | (self, module) | Initialize the weights.
| Initialize the weights.
| def init_weights(self, module):
""" Initialize the weights.
"""
if isinstance(module, (nn.Linear, nn.Embedding)):
# Slightly different from the TF version which uses truncated_normal for initialization
# cf https://github.com/pytorch/pytorch/pull/5617
module.w... | [
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"# c... | [
13,
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] | [
24,
36
] | python | en | ['en', 'en', 'en'] | True |
async_setup_platform | (hass, config, async_add_entities, discovery_info=None) | Set up the mysensors platform for switches. | Set up the mysensors platform for switches. | async def async_setup_platform(hass, config, async_add_entities, discovery_info=None):
"""Set up the mysensors platform for switches."""
device_class_map = {
"S_DOOR": MySensorsSwitch,
"S_MOTION": MySensorsSwitch,
"S_SMOKE": MySensorsSwitch,
"S_LIGHT": MySensorsSwitch,
"S... | [
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":",
"MySensorsSwitch",
",",
"\"S_... | [
17,
0
] | [
71,
5
] | python | en | ['en', 'en', 'en'] | True |
MySensorsSwitch.assumed_state | (self) | Return True if unable to access real state of entity. | Return True if unable to access real state of entity. | def assumed_state(self):
"""Return True if unable to access real state of entity."""
return self.gateway.optimistic | [
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] | [
78,
4
] | [
80,
38
] | python | en | ['en', 'en', 'en'] | True |
MySensorsSwitch.current_power_w | (self) | Return the current power usage in W. | Return the current power usage in W. | def current_power_w(self):
"""Return the current power usage in W."""
set_req = self.gateway.const.SetReq
return self._values.get(set_req.V_WATT) | [
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83,
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] | [
86,
47
] | python | en | ['en', 'en', 'en'] | True |
MySensorsSwitch.is_on | (self) | Return True if switch is on. | Return True if switch is on. | def is_on(self):
"""Return True if switch is on."""
return self._values.get(self.value_type) == STATE_ON | [
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91,
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] | python | en | ['en', 'fy', 'en'] | True |
MySensorsSwitch.async_turn_on | (self, **kwargs) | Turn the switch on. | Turn the switch on. | async def async_turn_on(self, **kwargs):
"""Turn the switch on."""
self.gateway.set_child_value(
self.node_id, self.child_id, self.value_type, 1, ack=1
)
if self.gateway.optimistic:
# Optimistically assume that switch has changed state
self._values[sel... | [
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101,
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MySensorsSwitch.async_turn_off | (self, **kwargs) | Turn the switch off. | Turn the switch off. | async def async_turn_off(self, **kwargs):
"""Turn the switch off."""
self.gateway.set_child_value(
self.node_id, self.child_id, self.value_type, 0, ack=1
)
if self.gateway.optimistic:
# Optimistically assume that switch has changed state
self._values[s... | [
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103,
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] | [
111,
39
] | python | en | ['en', 'en', 'en'] | True |
MySensorsIRSwitch.__init__ | (self, *args) | Set up instance attributes. | Set up instance attributes. | def __init__(self, *args):
"""Set up instance attributes."""
super().__init__(*args)
self._ir_code = None | [
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120,
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MySensorsIRSwitch.is_on | (self) | Return True if switch is on. | Return True if switch is on. | def is_on(self):
"""Return True if switch is on."""
set_req = self.gateway.const.SetReq
return self._values.get(set_req.V_LIGHT) == STATE_ON | [
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126,
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MySensorsIRSwitch.async_turn_on | (self, **kwargs) | Turn the IR switch on. | Turn the IR switch on. | async def async_turn_on(self, **kwargs):
"""Turn the IR switch on."""
set_req = self.gateway.const.SetReq
if ATTR_IR_CODE in kwargs:
self._ir_code = kwargs[ATTR_IR_CODE]
self.gateway.set_child_value(
self.node_id, self.child_id, self.value_type, self._ir_code
... | [
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... | [
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145,
39
] | python | en | ['en', 'zh', 'en'] | True |
MySensorsIRSwitch.async_turn_off | (self, **kwargs) | Turn the IR switch off. | Turn the IR switch off. | async def async_turn_off(self, **kwargs):
"""Turn the IR switch off."""
set_req = self.gateway.const.SetReq
self.gateway.set_child_value(
self.node_id, self.child_id, set_req.V_LIGHT, 0, ack=1
)
if self.gateway.optimistic:
# Optimistically assume that swit... | [
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"child... | [
147,
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] | [
156,
39
] | python | en | ['en', 'zh', 'en'] | True |
MySensorsIRSwitch.async_update | (self) | Update the controller with the latest value from a sensor. | Update the controller with the latest value from a sensor. | async def async_update(self):
"""Update the controller with the latest value from a sensor."""
await super().async_update()
self._ir_code = self._values.get(self.value_type) | [
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async_get_actions | (hass: HomeAssistant, device_id: str) | List device actions for Alarm control panel devices. | List device actions for Alarm control panel devices. | async def async_get_actions(hass: HomeAssistant, device_id: str) -> List[dict]:
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async_call_action_from_config | (
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async_get_action_capabilities | (hass, config) | List action capabilities. | List action capabilities. | async def async_get_action_capabilities(hass, config):
"""List action capabilities."""
state = hass.states.get(config[CONF_ENTITY_ID])
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convert | (value: float, unit_1: str, unit_2: str) | Convert one unit of measurement to another. | Convert one unit of measurement to another. | def convert(value: float, unit_1: str, unit_2: str) -> float:
"""Convert one unit of measurement to another."""
if unit_1 not in VALID_UNITS:
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glue_convert_examples_to_features | (
examples: Union[List[InputExample], "tf.data.Dataset"],
tokenizer: PreTrainedTokenizer,
max_length: Optional[int] = None,
task=None,
label_list=None,
output_mode=None,
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Loads a data file into a list of ``InputFeatures``
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tokenizer: Instance of a tokenizer that will tokenize the examples
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... |
Loads a data file into a list of ``InputFeatures`` | def glue_convert_examples_to_features(
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label_list=None,
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"""
Loads a data file into a list of ``InputFeatures``
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MrpcProcessor.get_example_from_tensor_dict | (self, tensor_dict) | See base class. | See base class. | def get_example_from_tensor_dict(self, tensor_dict):
"""See base class."""
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MrpcProcessor.get_train_examples | (self, data_dir) | See base class. | See base class. | def get_train_examples(self, data_dir):
"""See base class."""
logger.info("LOOKING AT {}".format(os.path.join(data_dir, "train.tsv")))
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MrpcProcessor.get_dev_examples | (self, data_dir) | See base class. | See base class. | def get_dev_examples(self, data_dir):
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MrpcProcessor.get_test_examples | (self, data_dir) | See base class. | See base class. | def get_test_examples(self, data_dir):
"""See base class."""
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MrpcProcessor.get_labels | (self) | See base class. | See base class. | def get_labels(self):
"""See base class."""
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MrpcProcessor._create_examples | (self, lines, set_type) | Creates examples for the training, dev and test sets. | Creates examples for the training, dev and test sets. | def _create_examples(self, lines, set_type):
"""Creates examples for the training, dev and test sets."""
examples = []
for (i, line) in enumerate(lines):
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guid = "%s-%s" % (set_type, i)
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MnliProcessor.get_example_from_tensor_dict | (self, tensor_dict) | See base class. | See base class. | def get_example_from_tensor_dict(self, tensor_dict):
"""See base class."""
return InputExample(
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MnliProcessor.get_train_examples | (self, data_dir) | See base class. | See base class. | def get_train_examples(self, data_dir):
"""See base class."""
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MnliProcessor.get_dev_examples | (self, data_dir) | See base class. | See base class. | def get_dev_examples(self, data_dir):
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MnliProcessor.get_test_examples | (self, data_dir) | See base class. | See base class. | def get_test_examples(self, data_dir):
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MnliProcessor.get_labels | (self) | See base class. | See base class. | def get_labels(self):
"""See base class."""
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MnliProcessor._create_examples | (self, lines, set_type) | Creates examples for the training, dev and test sets. | Creates examples for the training, dev and test sets. | def _create_examples(self, lines, set_type):
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MnliMismatchedProcessor.get_dev_examples | (self, data_dir) | See base class. | See base class. | def get_dev_examples(self, data_dir):
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MnliMismatchedProcessor.get_test_examples | (self, data_dir) | See base class. | See base class. | def get_test_examples(self, data_dir):
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ColaProcessor.get_example_from_tensor_dict | (self, tensor_dict) | See base class. | See base class. | def get_example_from_tensor_dict(self, tensor_dict):
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ColaProcessor.get_train_examples | (self, data_dir) | See base class. | See base class. | def get_train_examples(self, data_dir):
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ColaProcessor.get_dev_examples | (self, data_dir) | See base class. | See base class. | def get_dev_examples(self, data_dir):
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ColaProcessor.get_test_examples | (self, data_dir) | See base class. | See base class. | def get_test_examples(self, data_dir):
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ColaProcessor.get_labels | (self) | See base class. | See base class. | def get_labels(self):
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ColaProcessor._create_examples | (self, lines, set_type) | Creates examples for the training, dev and test sets. | Creates examples for the training, dev and test sets. | def _create_examples(self, lines, set_type):
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Sst2Processor.get_example_from_tensor_dict | (self, tensor_dict) | See base class. | See base class. | def get_example_from_tensor_dict(self, tensor_dict):
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] | python | en | ['en', 'en', 'en'] | True |
Sst2Processor.get_train_examples | (self, data_dir) | See base class. | See base class. | def get_train_examples(self, data_dir):
"""See base class."""
return self._create_examples(self._read_tsv(os.path.join(data_dir, "train.tsv")), "train") | [
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Sst2Processor.get_dev_examples | (self, data_dir) | See base class. | See base class. | def get_dev_examples(self, data_dir):
"""See base class."""
return self._create_examples(self._read_tsv(os.path.join(data_dir, "dev.tsv")), "dev") | [
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Sst2Processor.get_test_examples | (self, data_dir) | See base class. | See base class. | def get_test_examples(self, data_dir):
"""See base class."""
return self._create_examples(self._read_tsv(os.path.join(data_dir, "test.tsv")), "test") | [
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Sst2Processor.get_labels | (self) | See base class. | See base class. | def get_labels(self):
"""See base class."""
return ["0", "1"] | [
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Sst2Processor._create_examples | (self, lines, set_type) | Creates examples for the training, dev and test sets. | Creates examples for the training, dev and test sets. | def _create_examples(self, lines, set_type):
"""Creates examples for the training, dev and test sets."""
examples = []
text_index = 1 if set_type == "test" else 0
for (i, line) in enumerate(lines):
if i == 0:
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guid = "%s-%s" % (set_type, i)... | [
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StsbProcessor.get_example_from_tensor_dict | (self, tensor_dict) | See base class. | See base class. | def get_example_from_tensor_dict(self, tensor_dict):
"""See base class."""
return InputExample(
tensor_dict["idx"].numpy(),
tensor_dict["sentence1"].numpy().decode("utf-8"),
tensor_dict["sentence2"].numpy().decode("utf-8"),
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StsbProcessor.get_train_examples | (self, data_dir) | See base class. | See base class. | def get_train_examples(self, data_dir):
"""See base class."""
return self._create_examples(self._read_tsv(os.path.join(data_dir, "train.tsv")), "train") | [
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StsbProcessor.get_dev_examples | (self, data_dir) | See base class. | See base class. | def get_dev_examples(self, data_dir):
"""See base class."""
return self._create_examples(self._read_tsv(os.path.join(data_dir, "dev.tsv")), "dev") | [
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StsbProcessor.get_test_examples | (self, data_dir) | See base class. | See base class. | def get_test_examples(self, data_dir):
"""See base class."""
return self._create_examples(self._read_tsv(os.path.join(data_dir, "test.tsv")), "test") | [
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StsbProcessor.get_labels | (self) | See base class. | See base class. | def get_labels(self):
"""See base class."""
return [None] | [
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] | [
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] | [
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] | python | en | ['en', 'en', 'en'] | True |
StsbProcessor._create_examples | (self, lines, set_type) | Creates examples for the training, dev and test sets. | Creates examples for the training, dev and test sets. | def _create_examples(self, lines, set_type):
"""Creates examples for the training, dev and test sets."""
examples = []
for (i, line) in enumerate(lines):
if i == 0:
continue
guid = "%s-%s" % (set_type, line[0])
text_a = line[7]
text... | [
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QqpProcessor.get_example_from_tensor_dict | (self, tensor_dict) | See base class. | See base class. | def get_example_from_tensor_dict(self, tensor_dict):
"""See base class."""
return InputExample(
tensor_dict["idx"].numpy(),
tensor_dict["question1"].numpy().decode("utf-8"),
tensor_dict["question2"].numpy().decode("utf-8"),
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431,
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] | python | en | ['en', 'en', 'en'] | True |
QqpProcessor.get_train_examples | (self, data_dir) | See base class. | See base class. | def get_train_examples(self, data_dir):
"""See base class."""
return self._create_examples(self._read_tsv(os.path.join(data_dir, "train.tsv")), "train") | [
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QqpProcessor.get_dev_examples | (self, data_dir) | See base class. | See base class. | def get_dev_examples(self, data_dir):
"""See base class."""
return self._create_examples(self._read_tsv(os.path.join(data_dir, "dev.tsv")), "dev") | [
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QqpProcessor.get_test_examples | (self, data_dir) | See base class. | See base class. | def get_test_examples(self, data_dir):
"""See base class."""
return self._create_examples(self._read_tsv(os.path.join(data_dir, "test.tsv")), "test") | [
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QqpProcessor.get_labels | (self) | See base class. | See base class. | def get_labels(self):
"""See base class."""
return ["0", "1"] | [
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QqpProcessor._create_examples | (self, lines, set_type) | Creates examples for the training, dev and test sets. | Creates examples for the training, dev and test sets. | def _create_examples(self, lines, set_type):
"""Creates examples for the training, dev and test sets."""
test_mode = set_type == "test"
q1_index = 1 if test_mode else 3
q2_index = 2 if test_mode else 4
examples = []
for (i, line) in enumerate(lines):
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