sentence1 stringlengths 52 3.87M | sentence2 stringlengths 1 47.2k | label stringclasses 1
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def plot(self, binned=True, wavelengths=None, flux_unit=None, area=None,
vegaspec=None, **kwargs): # pragma: no cover
"""Plot the observation.
.. note:: Uses ``matplotlib``.
Parameters
----------
binned : bool
Plot data in native wavelengths if `False`... | Plot the observation.
.. note:: Uses ``matplotlib``.
Parameters
----------
binned : bool
Plot data in native wavelengths if `False`.
Else, plot binned data (default).
wavelengths : array-like, `~astropy.units.quantity.Quantity`, or `None`
Wa... | entailment |
def as_spectrum(self, binned=True, wavelengths=None):
"""Reduce the observation to an empirical source spectrum.
An observation is a complex object with some restrictions
on its capabilities. At times, it would be useful to work
with the observation as a simple object that is easier to
... | Reduce the observation to an empirical source spectrum.
An observation is a complex object with some restrictions
on its capabilities. At times, it would be useful to work
with the observation as a simple object that is easier to
manipulate and takes up less memory.
This is als... | entailment |
async def handle_frame(self, frame):
"""Handle incoming API frame, return True if this was the expected frame."""
if not isinstance(frame, FrameSetNodeNameConfirmation):
return False
self.success = frame.status == SetNodeNameConfirmationStatus.OK
return True | Handle incoming API frame, return True if this was the expected frame. | entailment |
async def do_api_call(self):
"""Start. Sending and waiting for answer."""
self.pyvlx.connection.register_frame_received_cb(
self.response_rec_callback)
await self.send_frame()
await self.start_timeout()
await self.response_received_or_timeout.wait()
await self... | Start. Sending and waiting for answer. | entailment |
async def start_timeout(self):
"""Start timeout."""
self.timeout_handle = self.pyvlx.connection.loop.call_later(
self.timeout_in_seconds, self.timeout) | Start timeout. | entailment |
async def main():
"""Load devices and scenes, run first scene."""
pyvlx = PyVLX('pyvlx.yaml')
# Alternative:
# pyvlx = PyVLX(host="192.168.2.127", password="velux123", timeout=60)
await pyvlx.load_devices()
print(pyvlx.devices[1])
print(pyvlx.devices['Fenster 4'])
await pyvlx.load_scen... | Load devices and scenes, run first scene. | entailment |
async def set_state(self, parameter):
"""Set switch to desired state."""
command_send = CommandSend(pyvlx=self.pyvlx, node_id=self.node_id, parameter=parameter)
await command_send.do_api_call()
if not command_send.success:
raise PyVLXException("Unable to send command")
... | Set switch to desired state. | entailment |
def etau_madau(wave, z, **kwargs):
"""Madau 1995 extinction for a galaxy at given redshift.
This is the Lyman-alpha prescription from the photo-z code BPZ.
The Lyman-alpha forest approximately has an effective
"throughput" which is a function of redshift and
rest-frame wavelength.
One would mul... | Madau 1995 extinction for a galaxy at given redshift.
This is the Lyman-alpha prescription from the photo-z code BPZ.
The Lyman-alpha forest approximately has an effective
"throughput" which is a function of redshift and
rest-frame wavelength.
One would multiply the SEDs by this factor before
p... | entailment |
def extinction_curve(self, ebv, wavelengths=None):
"""Generate extinction curve.
.. math::
A(V) = R(V) \\; \\times \\; E(B-V)
THRU = 10^{-0.4 \\; A(V)}
Parameters
----------
ebv : float or `~astropy.units.quantity.Quantity`
:math:`E(B-V)` v... | Generate extinction curve.
.. math::
A(V) = R(V) \\; \\times \\; E(B-V)
THRU = 10^{-0.4 \\; A(V)}
Parameters
----------
ebv : float or `~astropy.units.quantity.Quantity`
:math:`E(B-V)` value in magnitude.
wavelengths : array-like, `~astrop... | entailment |
def to_fits(self, filename, wavelengths=None, **kwargs):
"""Write the reddening law to a FITS file.
:math:`R(V)` column is automatically named 'Av/E(B-V)'.
Parameters
----------
filename : str
Output filename.
wavelengths : array-like, `~astropy.units.quant... | Write the reddening law to a FITS file.
:math:`R(V)` column is automatically named 'Av/E(B-V)'.
Parameters
----------
filename : str
Output filename.
wavelengths : array-like, `~astropy.units.quantity.Quantity`, or `None`
Wavelength values for sampling.... | entailment |
def from_file(cls, filename, **kwargs):
"""Create a reddening law from file.
If filename has 'fits' or 'fit' suffix, it is read as FITS.
Otherwise, it is read as ASCII.
Parameters
----------
filename : str
Reddening law filename.
kwargs : dict
... | Create a reddening law from file.
If filename has 'fits' or 'fit' suffix, it is read as FITS.
Otherwise, it is read as ASCII.
Parameters
----------
filename : str
Reddening law filename.
kwargs : dict
Keywords acceptable by
:func:`~s... | entailment |
def from_extinction_model(cls, modelname, **kwargs):
"""Load :ref:`pre-defined extinction model <synphot_reddening>`.
Parameters
----------
modelname : str
Extinction model name. Choose from 'lmc30dor', 'lmcavg', 'mwavg',
'mwdense', 'mwrv21', 'mwrv40', 'smcbar', ... | Load :ref:`pre-defined extinction model <synphot_reddening>`.
Parameters
----------
modelname : str
Extinction model name. Choose from 'lmc30dor', 'lmcavg', 'mwavg',
'mwdense', 'mwrv21', 'mwrv40', 'smcbar', or 'xgalsb'.
kwargs : dict
Keywords accepta... | entailment |
async def handle_frame(self, frame):
"""Handle incoming API frame, return True if this was the expected frame."""
if not isinstance(frame, FrameGetVersionConfirmation):
return False
self.version = frame.version
self.success = True
return True | Handle incoming API frame, return True if this was the expected frame. | entailment |
def validate_payload_len(self, payload):
"""Validate payload len."""
if not hasattr(self, "PAYLOAD_LEN"):
# No fixed payload len, e.g. within FrameGetSceneListNotification
return
# pylint: disable=no-member
if len(payload) != self.PAYLOAD_LEN:
raise Py... | Validate payload len. | entailment |
def build_frame(command, payload):
"""Build raw bytes from command and payload."""
packet_length = 2 + len(payload) + 1
ret = struct.pack("BB", 0, packet_length)
ret += struct.pack(">H", command.value)
ret += payload
ret += struct.pack("B", calc_crc(ret))
return r... | Build raw bytes from command and payload. | entailment |
async def run(self, wait_for_completion=True):
"""Run scene.
Parameters:
* wait_for_completion: If set, function will return
after device has reached target position.
"""
activate_scene = ActivateScene(
pyvlx=self.pyvlx,
wait_for_comp... | Run scene.
Parameters:
* wait_for_completion: If set, function will return
after device has reached target position. | entailment |
def add(self, scene):
"""Add scene."""
if not isinstance(scene, Scene):
raise TypeError()
self.__scenes.append(scene) | Add scene. | entailment |
async def load(self):
"""Load scenes from KLF 200."""
json_response = await self.pyvlx.interface.api_call('scenes', 'get')
self.data_import(json_response) | Load scenes from KLF 200. | entailment |
def data_import(self, json_response):
"""Import scenes from JSON response."""
if 'data' not in json_response:
raise PyVLXException('no element data found: {0}'.format(
json.dumps(json_response)))
data = json_response['data']
for item in data:
self.... | Import scenes from JSON response. | entailment |
def load_scene(self, item):
"""Load scene from json."""
scene = Scene.from_config(self.pyvlx, item)
self.add(scene) | Load scene from json. | entailment |
async def handle_frame(self, frame):
"""Handle incoming API frame, return True if this was the expected frame."""
if not isinstance(frame, FrameGetStateConfirmation):
return False
self.success = True
self.gateway_state = frame.gateway_state
self.gateway_sub_state = fr... | Handle incoming API frame, return True if this was the expected frame. | entailment |
def parse_raw(self, raw):
"""Parse alias array from raw bytes."""
if not isinstance(raw, bytes):
raise PyVLXException("AliasArray::invalid_type_if_raw", type_raw=type(raw))
if len(raw) != 21:
raise PyVLXException("AliasArray::invalid_size", size=len(raw))
nbr_of_a... | Parse alias array from raw bytes. | entailment |
def decode(raw):
"""Decode SLIP message."""
return raw \
.replace(bytes([SLIP_ESC, SLIP_ESC_END]), bytes([SLIP_END])) \
.replace(bytes([SLIP_ESC, SLIP_ESC_ESC]), bytes([SLIP_ESC])) | Decode SLIP message. | entailment |
def encode(raw):
"""Encode SLIP message."""
return raw \
.replace(bytes([SLIP_ESC]), bytes([SLIP_ESC, SLIP_ESC_ESC])) \
.replace(bytes([SLIP_END]), bytes([SLIP_ESC, SLIP_ESC_END])) | Encode SLIP message. | entailment |
def get_next_slip(raw):
"""
Get the next slip packet from raw data.
Returns the extracted packet plus the raw data with the remaining data stream.
"""
if not is_slip(raw):
return None, raw
length = raw[1:].index(SLIP_END)
slip_packet = decode(raw[1:length+1])
new_raw = raw[lengt... | Get the next slip packet from raw data.
Returns the extracted packet plus the raw data with the remaining data stream. | entailment |
async def set_utc(pyvlx):
"""Enable house status monitor."""
setutc = SetUTC(pyvlx=pyvlx)
await setutc.do_api_call()
if not setutc.success:
raise PyVLXException("Unable to set utc.") | Enable house status monitor. | entailment |
async def handle_frame(self, frame):
"""Handle incoming API frame, return True if this was the expected frame."""
if not isinstance(frame, FrameSetUTCConfirmation):
return False
self.success = True
return True | Handle incoming API frame, return True if this was the expected frame. | entailment |
def _slow_calcbinflux(len_binwave, i_beg, i_end, avflux, deltaw):
"""Python implementation of ``calcbinflux``.
This is only used if ``synphot.synphot_utils`` C-extension
import fails.
See docstrings.py
"""
binflux = np.empty(shape=(len_binwave, ), dtype=np.float64)
intwave = np.empty(shap... | Python implementation of ``calcbinflux``.
This is only used if ``synphot.synphot_utils`` C-extension
import fails.
See docstrings.py | entailment |
def calculate_bin_edges(centers):
"""Calculate the edges of wavelength bins given the centers.
The algorithm calculates bin edges as the midpoints between bin centers
and treats the first and last bins as symmetric about their centers.
Parameters
----------
centers : array-like or `~astropy.un... | Calculate the edges of wavelength bins given the centers.
The algorithm calculates bin edges as the midpoints between bin centers
and treats the first and last bins as symmetric about their centers.
Parameters
----------
centers : array-like or `~astropy.units.quantity.Quantity`
Sequence o... | entailment |
def calculate_bin_widths(edges):
"""Calculate the widths of wavelengths bins given their edges.
Parameters
----------
edges : array-like or `~astropy.units.quantity.Quantity`
Sequence of bin edges. Must be 1D and have at least two values.
If not a Quantity, assumed to be in Angstrom.
... | Calculate the widths of wavelengths bins given their edges.
Parameters
----------
edges : array-like or `~astropy.units.quantity.Quantity`
Sequence of bin edges. Must be 1D and have at least two values.
If not a Quantity, assumed to be in Angstrom.
Returns
-------
widths : `~as... | entailment |
def calculate_bin_centers(edges):
"""Calculate the centers of wavelengths bins given their edges.
Parameters
----------
edges : array-like or `~astropy.units.quantity.Quantity`
Sequence of bin edges. Must be 1D and have at least two values.
If not a Quantity, assumed to be in Angstrom.
... | Calculate the centers of wavelengths bins given their edges.
Parameters
----------
edges : array-like or `~astropy.units.quantity.Quantity`
Sequence of bin edges. Must be 1D and have at least two values.
If not a Quantity, assumed to be in Angstrom.
Returns
-------
centers : `~... | entailment |
def wave_range(bins, cenwave, npix, mode='round'):
"""Calculate the wavelength range covered by the given number of pixels
centered on the given central wavelength of the given bins.
Parameters
----------
bins : array-like
Wavelengths at bin centers, each centered on a pixel.
Must b... | Calculate the wavelength range covered by the given number of pixels
centered on the given central wavelength of the given bins.
Parameters
----------
bins : array-like
Wavelengths at bin centers, each centered on a pixel.
Must be 1D array.
cenwave : float
Desired central w... | entailment |
def pixel_range(bins, waverange, mode='round'):
"""Calculate the number of pixels within the given wavelength range
and the given bins.
Parameters
----------
bins : array-like
Wavelengths at bin centers, each centered on a pixel.
Must be 1D array.
waverange : tuple of float
... | Calculate the number of pixels within the given wavelength range
and the given bins.
Parameters
----------
bins : array-like
Wavelengths at bin centers, each centered on a pixel.
Must be 1D array.
waverange : tuple of float
Lower and upper limits of the desired wavelength r... | entailment |
async def connect(self):
"""Connect to KLF 200."""
PYVLXLOG.warning("Connecting to KLF 200.")
await self.connection.connect()
login = Login(pyvlx=self, password=self.config.password)
await login.do_api_call()
if not login.success:
raise PyVLXException("Login t... | Connect to KLF 200. | entailment |
async def update_version(self):
"""Retrieve version and protocol version from API."""
get_version = GetVersion(pyvlx=self)
await get_version.do_api_call()
if not get_version.success:
raise PyVLXException("Unable to retrieve version")
self.version = get_version.version... | Retrieve version and protocol version from API. | entailment |
async def send_frame(self, frame):
"""Send frame to API via connection."""
if not self.connection.connected:
await self.connect()
await self.update_version()
await set_utc(pyvlx=self)
await house_status_monitor_enable(pyvlx=self)
self.connection.wr... | Send frame to API via connection. | entailment |
def from_config(cls, pyvlx, item):
"""Read scene from configuration."""
name = item['name']
ident = item['id']
return cls(pyvlx, ident, name) | Read scene from configuration. | entailment |
async def api_call(self, verb, action, params=None, add_authorization_token=True, retry=False):
"""Send api call."""
if add_authorization_token and not self.token:
await self.refresh_token()
try:
return await self._api_call_impl(verb, action, params, add_authorization_to... | Send api call. | entailment |
async def refresh_token(self):
"""Refresh API token from KLF 200."""
json_response = await self.api_call('auth', 'login', {'password': self.config.password}, add_authorization_token=False)
if 'token' not in json_response:
raise PyVLXException('no element token found in response: {0}'... | Refresh API token from KLF 200. | entailment |
def create_body(action, params):
"""Create http body for rest request."""
body = {}
body['action'] = action
if params is not None:
body['params'] = params
return body | Create http body for rest request. | entailment |
def evaluate_response(json_response):
"""Evaluate rest response."""
if 'errors' in json_response and json_response['errors']:
Interface.evaluate_errors(json_response)
elif 'result' not in json_response:
raise PyVLXException('no element result found in response: {0}'.form... | Evaluate rest response. | entailment |
def evaluate_errors(json_response):
"""Evaluate rest errors."""
if 'errors' not in json_response or \
not isinstance(json_response['errors'], list) or \
not json_response['errors'] or \
not isinstance(json_response['errors'][0], int):
raise PyVLXException('Co... | Evaluate rest errors. | entailment |
def get_payload(self):
"""Return Payload."""
ret = bytes([self.node_id])
ret += string_to_bytes(self.name, 64)
return ret | Return Payload. | entailment |
def from_payload(self, payload):
"""Init frame from binary data."""
self.node_id = payload[0]
self.name = bytes_to_string(payload[1:65]) | Init frame from binary data. | entailment |
def from_payload(self, payload):
"""Init frame from binary data."""
self.status = SetNodeNameConfirmationStatus(payload[0])
self.node_id = payload[1] | Init frame from binary data. | entailment |
def convert_frame_to_node(pyvlx, frame):
"""Convert FrameGet[All]Node[s]InformationNotification into Node object."""
# pylint: disable=too-many-return-statements
if frame.node_type == NodeTypeWithSubtype.WINDOW_OPENER:
return Window(pyvlx=pyvlx, node_id=frame.node_id, name=frame.name, rain_sensor=Fa... | Convert FrameGet[All]Node[s]InformationNotification into Node object. | entailment |
def temperature(self, what):
"""Set temperature."""
self._temperature = units.validate_quantity(what, u.K) | Set temperature. | entailment |
def thermal_source(self):
"""Apply emissivity to an existing beam to produce a thermal
source spectrum (without optical counterpart).
Thermal source spectrum is calculated as follow:
#. Create a blackbody spectrum in PHOTLAM per square arcsec
with `temperature`.
... | Apply emissivity to an existing beam to produce a thermal
source spectrum (without optical counterpart).
Thermal source spectrum is calculated as follow:
#. Create a blackbody spectrum in PHOTLAM per square arcsec
with `temperature`.
#. Multiply the blackbody wit... | entailment |
def from_file(cls, filename, temperature_key='DEFT',
beamfill_key='BEAMFILL', **kwargs):
"""Creates a thermal spectral element from file.
.. note::
Only FITS format is supported.
Parameters
----------
filename : str
Thermal spectral el... | Creates a thermal spectral element from file.
.. note::
Only FITS format is supported.
Parameters
----------
filename : str
Thermal spectral element filename.
temperature_key, beamfill_key : str
Keywords in FITS *table extension* that store... | entailment |
def from_payload(self, payload):
"""Init frame from binary data."""
self.status = AllNodesInformationStatus(payload[0])
self.number_of_nodes = payload[1] | Init frame from binary data. | entailment |
def get_payload(self):
"""Return Payload."""
payload = bytes()
payload += bytes([self.node_id])
payload += bytes([self.order >> 8 & 255, self.order & 255])
payload += bytes([self.placement])
payload += bytes(string_to_bytes(self.name, 64))
payload += bytes([self.v... | Return Payload. | entailment |
def from_payload(self, payload):
"""Init frame from binary data."""
self.node_id = payload[0]
self.order = payload[1] * 256 + payload[2]
self.placement = payload[3]
self.name = bytes_to_string(payload[4:68])
self.velocity = Velocity(payload[68])
self.node_type = N... | Init frame from binary data. | entailment |
def from_parameter(self, parameter):
"""Set internal raw state from parameter."""
if not isinstance(parameter, Parameter):
raise Exception("parameter::from_parameter_wrong_object")
self.raw = parameter.raw | Set internal raw state from parameter. | entailment |
def from_int(value):
"""Create raw out of position vlaue."""
if not isinstance(value, int):
raise PyVLXException("value_has_to_be_int")
if not Parameter.is_valid_int(value):
raise PyVLXException("value_out_of_range")
return bytes([value >> 8 & 255, value & 255]) | Create raw out of position vlaue. | entailment |
def is_valid_int(value):
"""Test if value can be rendered out of int."""
if 0 <= value <= Parameter.MAX: # This includes ON and OFF
return True
if value == Parameter.UNKNOWN_VALUE:
return True
if value == Parameter.CURRENT_POSITION:
return True
... | Test if value can be rendered out of int. | entailment |
def from_raw(raw):
"""Test if raw packets are valid for initialization of Position."""
if not isinstance(raw, bytes):
raise PyVLXException("Position::raw_must_be_bytes")
if len(raw) != 2:
raise PyVLXException("Position::raw_must_be_two_bytes")
if raw != Position.f... | Test if raw packets are valid for initialization of Position. | entailment |
def from_percent(position_percent):
"""Create raw value out of percent position."""
if not isinstance(position_percent, int):
raise PyVLXException("Position::position_percent_has_to_be_int")
if position_percent < 0:
raise PyVLXException("Position::position_percent_has_to_... | Create raw value out of percent position. | entailment |
def product(self):
"""Return product as human readable string."""
if self.product_group == 14 and self.product_type == 3:
return "KLF 200"
return "Unknown Product: {}:{}".format(self.product_group, self.product_type) | Return product as human readable string. | entailment |
def get_payload(self):
"""Return Payload."""
ret = self._software_version
ret += bytes([self.hardware_version, self.product_group, self.product_type])
return ret | Return Payload. | entailment |
def from_payload(self, payload):
"""Init frame from binary data."""
self._software_version = payload[0:6]
self.hardware_version = payload[6]
self.product_group = payload[7]
self.product_type = payload[8] | Init frame from binary data. | entailment |
def get_payload(self):
"""Return Payload."""
ret = bytes([self.session_id >> 8 & 255, self.session_id & 255])
ret += bytes([self.originator.value])
ret += bytes([self.priority.value])
ret += bytes([self.scene_id])
ret += bytes([self.velocity.value])
return ret | Return Payload. | entailment |
def from_payload(self, payload):
"""Init frame from binary data."""
self.session_id = payload[0]*256 + payload[1]
self.originator = Originator(payload[2])
self.priority = Priority(payload[3])
self.scene_id = payload[4]
self.velocity = Velocity(payload[5]) | Init frame from binary data. | entailment |
def get_payload(self):
"""Return Payload."""
ret = bytes([self.status.value])
ret += bytes([self.session_id >> 8 & 255, self.session_id & 255])
return ret | Return Payload. | entailment |
def from_payload(self, payload):
"""Init frame from binary data."""
self.status = ActivateSceneConfirmationStatus(payload[0])
self.session_id = payload[1]*256 + payload[2] | Init frame from binary data. | entailment |
def get_payload(self):
"""Return Payload."""
# Session id
ret = bytes([self.session_id >> 8 & 255, self.session_id & 255])
ret += bytes([self.originator.value])
ret += bytes([self.priority.value])
ret += bytes([0]) # ParameterActive pointing to main parameter (MP)
... | Return Payload. | entailment |
def from_payload(self, payload):
"""Init frame from binary data."""
self.session_id = payload[0]*256 + payload[1]
self.originator = Originator(payload[2])
self.priority = Priority(payload[3])
len_node_ids = payload[41]
if len_node_ids > 20:
raise PyVLXExcepti... | Init frame from binary data. | entailment |
def from_payload(self, payload):
"""Init frame from binary data."""
self.session_id = payload[0]*256 + payload[1]
self.status = CommandSendConfirmationStatus(payload[2]) | Init frame from binary data. | entailment |
def get_payload(self):
"""Return Payload."""
ret = bytes([self.session_id >> 8 & 255, self.session_id & 255])
ret += bytes([self.status_id])
ret += bytes([self.index_id])
ret += bytes([self.node_parameter])
ret += bytes([self.parameter_value >> 8 & 255, self.parameter_val... | Return Payload. | entailment |
def from_payload(self, payload):
"""Init frame from binary data."""
self.session_id = payload[0]*256 + payload[1]
self.status_id = payload[2]
self.index_id = payload[3]
self.node_parameter = payload[4]
self.parameter_value = payload[5]*256 + payload[6] | Init frame from binary data. | entailment |
def get_payload(self):
"""Return Payload."""
ret = bytes([self.session_id >> 8 & 255, self.session_id & 255])
ret += bytes([self.index_id])
ret += bytes([self.node_parameter])
ret += bytes([self.seconds >> 8 & 255, self.seconds & 255])
return ret | Return Payload. | entailment |
def from_payload(self, payload):
"""Init frame from binary data."""
self.session_id = payload[0]*256 + payload[1]
self.index_id = payload[2]
self.node_parameter = payload[3]
self.seconds = payload[4]*256 + payload[5] | Init frame from binary data. | entailment |
async def main(loop):
"""Log packets from Bus."""
# Setting debug
PYVLXLOG.setLevel(logging.DEBUG)
stream_handler = logging.StreamHandler()
stream_handler.setLevel(logging.DEBUG)
PYVLXLOG.addHandler(stream_handler)
# Connecting to KLF 200
pyvlx = PyVLX('pyvlx.yaml', loop=loop)
await... | Log packets from Bus. | entailment |
async def rename(self, name):
"""Change name of node."""
set_node_name = SetNodeName(pyvlx=self.pyvlx, node_id=self.node_id, name=name)
await set_node_name.do_api_call()
if not set_node_name.success:
raise PyVLXException("Unable to rename node")
self.name = name | Change name of node. | entailment |
async def set_position(self, position, wait_for_completion=True):
"""Set window to desired position.
Parameters:
* position: Position object containing the target position.
* wait_for_completion: If set, function will return
after device has reached target positi... | Set window to desired position.
Parameters:
* position: Position object containing the target position.
* wait_for_completion: If set, function will return
after device has reached target position. | entailment |
async def open(self, wait_for_completion=True):
"""Open window.
Parameters:
* wait_for_completion: If set, function will return
after device has reached target position.
"""
await self.set_position(
position=Position(position_percent=0),
... | Open window.
Parameters:
* wait_for_completion: If set, function will return
after device has reached target position. | entailment |
async def close(self, wait_for_completion=True):
"""Close window.
Parameters:
* wait_for_completion: If set, function will return
after device has reached target position.
"""
await self.set_position(
position=Position(position_percent=100),
... | Close window.
Parameters:
* wait_for_completion: If set, function will return
after device has reached target position. | entailment |
async def stop(self, wait_for_completion=True):
"""Stop window.
Parameters:
* wait_for_completion: If set, function will return
after device has reached target position.
"""
await self.set_position(
position=CurrentPosition(),
wait_fo... | Stop window.
Parameters:
* wait_for_completion: If set, function will return
after device has reached target position. | entailment |
def _get_sampleset(model):
"""Return sampleset of a model or `None` if undefined.
Model could be a real model or evaluated sampleset."""
if isinstance(model, Model):
if hasattr(model, 'sampleset'):
w = model.sampleset()
else:
w = None
else:
w = model # Al... | Return sampleset of a model or `None` if undefined.
Model could be a real model or evaluated sampleset. | entailment |
def _merge_sampleset(model1, model2):
"""Simple merge of samplesets."""
w1 = _get_sampleset(model1)
w2 = _get_sampleset(model2)
return merge_wavelengths(w1, w2) | Simple merge of samplesets. | entailment |
def _shift_wavelengths(model1, model2):
"""One of the models is either ``RedshiftScaleFactor`` or ``Scale``.
Possible combos::
RedshiftScaleFactor | Model
Scale | Model
Model | Scale
"""
if isinstance(model1, _models.RedshiftScaleFactor):
val = _get_sampleset(model2)
... | One of the models is either ``RedshiftScaleFactor`` or ``Scale``.
Possible combos::
RedshiftScaleFactor | Model
Scale | Model
Model | Scale | entailment |
def get_waveset(model):
"""Get optimal wavelengths for sampling a given model.
Parameters
----------
model : `~astropy.modeling.Model`
Model.
Returns
-------
waveset : array-like or `None`
Optimal wavelengths. `None` if undefined.
Raises
------
synphot.exceptio... | Get optimal wavelengths for sampling a given model.
Parameters
----------
model : `~astropy.modeling.Model`
Model.
Returns
-------
waveset : array-like or `None`
Optimal wavelengths. `None` if undefined.
Raises
------
synphot.exceptions.SynphotError
Invalid... | entailment |
def _get_meta(model):
"""Return metadata of a model.
Model could be a real model or evaluated metadata."""
if isinstance(model, Model):
w = model.meta
else:
w = model # Already metadata
return w | Return metadata of a model.
Model could be a real model or evaluated metadata. | entailment |
def _merge_meta(model1, model2):
"""Simple merge of samplesets."""
w1 = _get_meta(model1)
w2 = _get_meta(model2)
return metadata.merge(w1, w2, metadata_conflicts='silent') | Simple merge of samplesets. | entailment |
def get_metadata(model):
"""Get metadata for a given model.
Parameters
----------
model : `~astropy.modeling.Model`
Model.
Returns
-------
metadata : dict
Metadata for the model.
Raises
------
synphot.exceptions.SynphotError
Invalid model.
"""
... | Get metadata for a given model.
Parameters
----------
model : `~astropy.modeling.Model`
Model.
Returns
-------
metadata : dict
Metadata for the model.
Raises
------
synphot.exceptions.SynphotError
Invalid model. | entailment |
def lambda_max(self):
"""Peak wavelength in Angstrom when the curve is expressed as
power density."""
return ((const.b_wien.value / self.temperature) * u.m).to(u.AA).value | Peak wavelength in Angstrom when the curve is expressed as
power density. | entailment |
def bounding_box(self, factor=10.0):
"""Tuple defining the default ``bounding_box`` limits,
``(x_low, x_high)``.
.. math::
x_{\\textnormal{low}} = 0
x_{\\textnormal{high}} = \\log(\\lambda_{\\textnormal{max}} \\;\
(1 + \\textnormal{factor}))
Parame... | Tuple defining the default ``bounding_box`` limits,
``(x_low, x_high)``.
.. math::
x_{\\textnormal{low}} = 0
x_{\\textnormal{high}} = \\log(\\lambda_{\\textnormal{max}} \\;\
(1 + \\textnormal{factor}))
Parameters
----------
factor : float
... | entailment |
def sampleset(self, factor_bbox=10.0, num=1000):
"""Return ``x`` array that samples the feature.
Parameters
----------
factor_bbox : float
Factor for ``bounding_box`` calculations.
num : int
Number of points to generate.
"""
w1, w2 = sel... | Return ``x`` array that samples the feature.
Parameters
----------
factor_bbox : float
Factor for ``bounding_box`` calculations.
num : int
Number of points to generate. | entailment |
def evaluate(x, temperature):
"""Evaluate the model.
Parameters
----------
x : number or ndarray
Wavelengths in Angstrom.
temperature : number
Temperature in Kelvin.
Returns
-------
y : number or ndarray
Blackbody rad... | Evaluate the model.
Parameters
----------
x : number or ndarray
Wavelengths in Angstrom.
temperature : number
Temperature in Kelvin.
Returns
-------
y : number or ndarray
Blackbody radiation in PHOTLAM per steradian. | entailment |
def evaluate(self, x, temperature):
"""Evaluate the model.
Parameters
----------
x : number or ndarray
Wavelengths in Angstrom.
temperature : number
Temperature in Kelvin.
Returns
-------
y : number or ndarray
Blackbo... | Evaluate the model.
Parameters
----------
x : number or ndarray
Wavelengths in Angstrom.
temperature : number
Temperature in Kelvin.
Returns
-------
y : number or ndarray
Blackbody radiation in PHOTLAM. | entailment |
def _calc_sampleset(w1, w2, step, minimal):
"""Calculate sampleset for each model."""
if minimal:
arr = [w1 - step, w1, w2, w2 + step]
else:
arr = np.arange(w1 - step, w2 + step + step, step)
return arr | Calculate sampleset for each model. | entailment |
def sampleset(self, step=0.01, minimal=False):
"""Return ``x`` array that samples the feature.
Parameters
----------
step : float
Distance of first and last points w.r.t. bounding box.
minimal : bool
Only return the minimal points needed to define the bo... | Return ``x`` array that samples the feature.
Parameters
----------
step : float
Distance of first and last points w.r.t. bounding box.
minimal : bool
Only return the minimal points needed to define the box;
i.e., box edges and a point outside on each... | entailment |
def evaluate(self, x, *args):
"""One dimensional constant flux model function.
Parameters
----------
x : number or ndarray
Wavelengths in Angstrom.
Returns
-------
y : number or ndarray
Flux in PHOTLAM.
"""
a = (self.ampl... | One dimensional constant flux model function.
Parameters
----------
x : number or ndarray
Wavelengths in Angstrom.
Returns
-------
y : number or ndarray
Flux in PHOTLAM. | entailment |
def _process_neg_flux(self, x, y):
"""Remove negative flux."""
if self._keep_neg: # Nothing to do
return y
old_y = None
if np.isscalar(y): # pragma: no cover
if y < 0:
n_neg = 1
old_x = x
old_y = y
... | Remove negative flux. | entailment |
def evaluate(self, inputs):
"""Evaluate the model.
Parameters
----------
inputs : number or ndarray
Wavelengths in same unit as ``points``.
Returns
-------
y : number or ndarray
Flux or throughput in same unit as ``lookup_table``.
... | Evaluate the model.
Parameters
----------
inputs : number or ndarray
Wavelengths in same unit as ``points``.
Returns
-------
y : number or ndarray
Flux or throughput in same unit as ``lookup_table``. | entailment |
def evaluate(x, amplitude, mean, stddev):
"""
GaussianAbsorption1D model function.
"""
return 1.0 - Gaussian1D.evaluate(x, amplitude, mean, stddev) | GaussianAbsorption1D model function. | entailment |
def fit_deriv(x, amplitude, mean, stddev):
"""
GaussianAbsorption1D model function derivatives.
"""
import operator
return list(map(
operator.neg, Gaussian1D.fit_deriv(x, amplitude, mean, stddev))) | GaussianAbsorption1D model function derivatives. | entailment |
def sampleset(self, factor_step=0.05, **kwargs):
"""Return ``x`` array that samples the feature.
Parameters
----------
factor_step : float
Factor for sample step calculation. The step is calculated
using ``factor_step * self.fwhm``.
kwargs : dict
... | Return ``x`` array that samples the feature.
Parameters
----------
factor_step : float
Factor for sample step calculation. The step is calculated
using ``factor_step * self.fwhm``.
kwargs : dict
Keyword(s) for ``bounding_box`` calculation. | entailment |
def evaluate(self, x, *args):
"""Return flux in PHOTLAM. Assume input wavelength is in Angstrom."""
xx = x / self.x_0
y = (self.amplitude * xx ** (-self.alpha)) * self._flux_unit
flux = units.convert_flux(x, y, units.PHOTLAM)
return flux.value | Return flux in PHOTLAM. Assume input wavelength is in Angstrom. | entailment |
def sampleset(self):
"""Return ``x`` array that samples the feature."""
x1, x4 = self.bounding_box
dw = self.width * 0.5
x2 = self.x_0 - dw
x3 = self.x_0 + dw
if self._n_models == 1:
w = [x1, x2, x3, x4]
else:
w = list(zip(x1, x2, x3, x4))... | Return ``x`` array that samples the feature. | entailment |
def get_payment_request(self, cart, request):
"""
From the given request, add a snippet to the page.
"""
try:
self.charge(cart, request)
thank_you_url = OrderModel.objects.get_latest_url()
js_expression = 'window.location.href="{}";'.format(thank_you_u... | From the given request, add a snippet to the page. | entailment |
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