INSTRUCTION stringlengths 1 8.43k | RESPONSE stringlengths 75 104k |
|---|---|
Parse data for related objects. | def load_related(self, meta, fname, data, fields, encoding):
'''Parse data for related objects.'''
field = meta.dfields[fname]
if field in meta.multifields:
fmeta = field.structure_class()._meta
if fmeta.name in ('hashtable', 'zset'):
return ((native... |
Execute the query without fetching data. Returns the number of elements in the query. | def _execute_query(self):
'''Execute the query without fetching data. Returns the number of
elements in the query.'''
pipe = self.pipe
if not self.card:
if self.meta.ordering:
self.ismember = getattr(self.backend.client, 'zrank')
self.card = get... |
Perform ordering with respect model fields. | def order(self, last):
'''Perform ordering with respect model fields.'''
desc = last.desc
field = last.name
nested = last.nested
nested_args = []
while nested:
meta = nested.model._meta
nested_args.extend((self.backend.basekey(meta), nested... |
Generator of load_related arguments | def related_lua_args(self):
'''Generator of load_related arguments'''
related = self.queryelem.select_related
if related:
meta = self.meta
for rel in related:
field = meta.dfields[rel]
relmodel = field.relmodel
bk = ... |
Remove and return a range from the ordered set by rank ( index ). | def ipop_range(self, start, stop=None, withscores=True, **options):
'''Remove and return a range from the ordered set by rank (index).'''
return self.backend.execute(
self.client.zpopbyrank(self.id, start, stop,
withscores=withscores, **options),
... |
Remove and return a range from the ordered set by score. | def pop_range(self, start, stop=None, withscores=True, **options):
'''Remove and return a range from the ordered set by score.'''
return self.backend.execute(
self.client.zpopbyscore(self.id, start, stop,
withscores=withscores, **options),
... |
Extract model metadata for lua script stdnet/ lib/ lua/ odm. lua | def meta(self, meta):
'''Extract model metadata for lua script stdnet/lib/lua/odm.lua'''
data = meta.as_dict()
data['namespace'] = self.basekey(meta)
return data |
Execute a session in redis. | def execute_session(self, session_data):
'''Execute a session in redis.'''
pipe = self.client.pipeline()
for sm in session_data: # loop through model sessions
meta = sm.meta
if sm.structures:
self.flush_structure(sm, pipe)
delquery = No... |
Flush all model keys from the database | def flush(self, meta=None):
'''Flush all model keys from the database'''
pattern = self.basekey(meta) if meta else self.namespace
return self.client.delpattern('%s*' % pattern) |
Returns the covariance matrix for a given light curve segment. | def GetCovariance(kernel, kernel_params, time, errors):
'''
Returns the covariance matrix for a given light curve
segment.
:param array_like kernel_params: A list of kernel parameters \
(white noise amplitude, red noise amplitude, and red noise timescale)
:param array_like time: The time ... |
Optimizes the GP by training it on the current de - trended light curve. Returns the white noise amplitude red noise amplitude and red noise timescale. | def GetKernelParams(time, flux, errors, kernel='Basic', mask=[],
giter=3, gmaxf=200, guess=None):
'''
Optimizes the GP by training it on the current de-trended light curve.
Returns the white noise amplitude, red noise amplitude,
and red noise timescale.
:param array_like time: T... |
Returns the negative log - likelihood function and its gradient. | def NegLnLike(x, time, flux, errors, kernel):
'''
Returns the negative log-likelihood function and its gradient.
'''
gp = GP(kernel, x, white=True)
gp.compute(time, errors)
if OLDGEORGE:
nll = -gp.lnlikelihood(flux)
# NOTE: There was a bug on this next line! Used to be
... |
Given a startdate and an enddate dates evaluate the date intervals from which data is not available. It return a list of two - dimensional tuples containing start and end date for the interval. The list could countain 0 1 or 2 tuples. | def missing_intervals(startdate, enddate, start, end,
dateconverter=None,
parseinterval=None,
intervals=None):
'''Given a ``startdate`` and an ``enddate`` dates, evaluate the
date intervals from which data is not available. It return a list of
... |
Generates dates between * atrt * and * end *. | def dategenerator(start, end, step=1, desc=False):
'''Generates dates between *atrt* and *end*.'''
delta = timedelta(abs(step))
end = max(start, end)
if desc:
dt = end
while dt >= start:
yield dt
dt -= delta
else:
dt = start
while dt... |
A little routine to initialize the logging functionality. | def InitLog(file_name=None, log_level=logging.DEBUG,
screen_level=logging.CRITICAL, pdb=False):
'''
A little routine to initialize the logging functionality.
:param str file_name: The name of the file to log to. \
Default :py:obj:`None` (set internally by :py:mod:`everest`)
:para... |
A custom exception handler that logs errors to file. | def ExceptionHook(exctype, value, tb):
'''
A custom exception handler that logs errors to file.
'''
for line in traceback.format_exception_only(exctype, value):
log.error(line.replace('\n', ''))
for line in traceback.format_tb(tb):
log.error(line.replace('\n', ''))
sys.__except... |
A custom exception handler with: py: obj: pdb post - mortem for debugging. | def ExceptionHookPDB(exctype, value, tb):
'''
A custom exception handler, with :py:obj:`pdb` post-mortem for debugging.
'''
for line in traceback.format_exception_only(exctype, value):
log.error(line.replace('\n', ''))
for line in traceback.format_tb(tb):
log.error(line.replace('\n... |
Sorts the list: py: obj: l by comparing: py: obj: col2 to: py: obj: col1. Specifically finds the indices: py: obj: i such that col2 [ i ] = col1 and returns l [ i ]. This is useful when comparing the CDPP values of catalogs generated by different pipelines. The target IDs are all the same but won t necessarily be in th... | def sort_like(l, col1, col2):
'''
Sorts the list :py:obj:`l` by comparing :py:obj:`col2` to :py:obj:`col1`.
Specifically, finds the indices :py:obj:`i` such that ``col2[i] = col1``
and returns ``l[i]``. This is useful when comparing the CDPP values of
catalogs generated by different pipelines. The
... |
Progress bar range with tqdm | def prange(*x):
'''
Progress bar range with `tqdm`
'''
try:
root = logging.getLogger()
if len(root.handlers):
for h in root.handlers:
if (type(h) is logging.StreamHandler) and \
(h.level != logging.CRITICAL):
from ... |
Return the front pair of the structure | def front(self, *fields):
'''Return the front pair of the structure'''
ts = self.irange(0, 0, fields=fields)
if ts:
return ts.start(), ts[0] |
Return the back pair of the structure | def back(self, *fields):
'''Return the back pair of the structure'''
ts = self.irange(-1, -1, fields=fields)
if ts:
return ts.end(), ts[0] |
Converts the backend into the database connection parameters. It returns a ( scheme host params ) tuple. | def parse_backend(backend):
"""Converts the "backend" into the database connection parameters.
It returns a (scheme, host, params) tuple."""
r = urlparse.urlsplit(backend)
scheme, host = r.scheme, r.netloc
path, query = r.path, r.query
if path and not query:
query, path = path, ''
... |
get a: class: BackendDataServer. | def getdb(backend=None, **kwargs):
'''get a :class:`BackendDataServer`.'''
if isinstance(backend, BackendDataServer):
return backend
backend = backend or settings.DEFAULT_BACKEND
if not backend:
return None
scheme, address, params = parse_backend(backend)
params.update(kw... |
Calculate the key to access model data.: parameter meta: a: class: stdnet. odm. Metaclass.: parameter args: optional list of strings to prepend to the basekey.: rtype: a native string | def basekey(self, meta, *args):
"""Calculate the key to access model data.
:parameter meta: a :class:`stdnet.odm.Metaclass`.
:parameter args: optional list of strings to prepend to the basekey.
:rtype: a native string
"""
key = '%s%s' % (self.namespace, meta.modelkey)
postfix = ':'.join... |
Generator of: class: stdnet. odm. StdModel instances with data from database.: parameter meta: instance of model: class: stdnet. odm. Metaclass.: parameter data: iterator over instances data. | def make_objects(self, meta, data, related_fields=None):
'''Generator of :class:`stdnet.odm.StdModel` instances with data
from database.
:parameter meta: instance of model :class:`stdnet.odm.Metaclass`.
:parameter data: iterator over instances data.
'''
make_object = meta.make_object
re... |
Create a backend: class: stdnet. odm. Structure handler.: param instance: a: class: stdnet. odm. Structure: param client: Optional client handler. | def structure(self, instance, client=None):
'''Create a backend :class:`stdnet.odm.Structure` handler.
:param instance: a :class:`stdnet.odm.Structure`
:param client: Optional client handler.
'''
struct = self.struct_map.get(instance._meta.name)
if struct is None:... |
Why is my target not in the EVEREST database? | def Search(ID, mission='k2'):
"""Why is my target not in the EVEREST database?"""
# Only K2 supported for now
assert mission == 'k2', "Only the K2 mission is supported for now."
print("Searching for target %d..." % ID)
# First check if it is in the database
season = missions.k2.Season(ID)
i... |
Download a given: py: mod: everest file from MAST. | def DownloadFile(ID, season=None, mission='k2', cadence='lc',
filename=None, clobber=False):
'''
Download a given :py:mod:`everest` file from MAST.
:param str mission: The mission name. Default `k2`
:param str cadence: The light curve cadence. Default `lc`
:param str filename: The ... |
Show the data validation summary ( DVS ) for a given target. | def DVS(ID, season=None, mission='k2', clobber=False,
cadence='lc', model='nPLD'):
'''
Show the data validation summary (DVS) for a given target.
:param str mission: The mission name. Default `k2`
:param str cadence: The light curve cadence. Default `lc`
:param bool clobber: If :py:obj:`Tru... |
Re - compute the: py: mod: everest model for the given value of: py: obj: lambda. For long cadence k2 light curves this should take several seconds. For short cadence k2 light curves it may take a few minutes. Note that this is a simple wrapper around: py: func: everest. Basecamp. compute. | def compute(self):
'''
Re-compute the :py:mod:`everest` model for the given
value of :py:obj:`lambda`.
For long cadence `k2` light curves, this should take several
seconds. For short cadence `k2` light curves, it may take a
few minutes. Note that this is a simple wrapper ... |
Computes the PLD flux normalization array. | def _get_norm(self):
'''
Computes the PLD flux normalization array.
..note :: `iPLD` model **only**.
'''
log.info('Computing the PLD normalization...')
# Loop over all chunks
mod = [None for b in self.breakpoints]
for b, brkpt in enumerate(self.breakpo... |
Load the FITS file from disk and populate the class instance with its data. | def load_fits(self):
'''
Load the FITS file from disk and populate the
class instance with its data.
'''
log.info("Loading FITS file for %d." % (self.ID))
with pyfits.open(self.fitsfile) as f:
# Params and long cadence data
self.loaded = True
... |
Plot sample postage stamps for the target with the aperture outline marked as well as a high - res target image ( if available ). | def plot_aperture(self, show=True):
'''
Plot sample postage stamps for the target with the aperture
outline marked, as well as a high-res target image (if available).
:param bool show: Show the plot or return the `(fig, ax)` instance? \
Default :py:obj:`True`
'''... |
Plots the final de - trended light curve. | def plot(self, show=True, plot_raw=True, plot_gp=True,
plot_bad=True, plot_out=True, plot_cbv=True,
simple=False):
'''
Plots the final de-trended light curve.
:param bool show: Show the plot or return the `(fig, ax)` instance? \
Default :py:obj:`True`
... |
Shows the data validation summary ( DVS ) for the target. | def dvs(self):
'''
Shows the data validation summary (DVS) for the target.
'''
DVS(self.ID, season=self.season, mission=self.mission,
model=self.model_name, clobber=self.clobber) |
Plots the light curve for the target de - trended with a given pipeline. | def plot_pipeline(self, pipeline, *args, **kwargs):
'''
Plots the light curve for the target de-trended with a given pipeline.
:param str pipeline: The name of the pipeline (lowercase). Options \
are 'everest2', 'everest1', and other mission-specific \
pipelines. F... |
Returns the time and flux arrays for the target obtained by a given pipeline. | def get_pipeline(self, *args, **kwargs):
'''
Returns the `time` and `flux` arrays for the target obtained by a given
pipeline.
Options :py:obj:`args` and :py:obj:`kwargs` are passed directly to
the :py:func:`pipelines.get` function of the mission.
'''
return ge... |
Mask all of the transits/ eclipses of a given planet/ EB. After calling this method you must re - compute the model by calling: py: meth: compute in order for the mask to take effect. | def mask_planet(self, t0, period, dur=0.2):
'''
Mask all of the transits/eclipses of a given planet/EB. After calling
this method, you must re-compute the model by calling
:py:meth:`compute` in order for the mask to take effect.
:param float t0: The time of first transit (same u... |
.. warning:: Untested! | def _plot_weights(self, show=True):
'''
.. warning:: Untested!
'''
# Set up the axes
fig = pl.figure(figsize=(12, 12))
fig.subplots_adjust(top=0.95, bottom=0.025, left=0.1, right=0.92)
fig.canvas.set_window_title(
'%s %d' % (self._mission.IDSTRING, s... |
Saves all of the de - trending information to disk in an npz file | def _save_npz(self):
'''
Saves all of the de-trending information to disk in an `npz` file
'''
# Save the data
d = dict(self.__dict__)
d.pop('_weights', None)
d.pop('_A', None)
d.pop('_B', None)
d.pop('_f', None)
d.pop('_mK', None)
... |
Runs: py: obj: pPLD on the target in an attempt to further optimize the values of the PLD priors. See: py: class: everest. detrender. pPLD. | def optimize(self, piter=3, pmaxf=300, ppert=0.1):
'''
Runs :py:obj:`pPLD` on the target in an attempt to further optimize the
values of the PLD priors. See :py:class:`everest.detrender.pPLD`.
'''
self._save_npz()
optimized = pPLD(self.ID, piter=piter, pmaxf=pmaxf,
... |
Plot the light curve folded on a given period and centered at t0. When plotting folded transits please mask them using: py: meth: mask_planet and re - compute the model using: py: meth: compute. | def plot_folded(self, t0, period, dur=0.2):
'''
Plot the light curve folded on a given `period` and centered at `t0`.
When plotting folded transits, please mask them using
:py:meth:`mask_planet` and re-compute the model using
:py:meth:`compute`.
:param float t0: The time... |
Plot the light curve de - trended with a join instrumental + transit model with the best fit transit model overlaid. The transit model should be specified using the: py: obj: transit_model attribute and should be an instance or list of instances of: py: class: everest. transit. TransitModel. | def plot_transit_model(self, show=True, fold=None, ax=None):
'''
Plot the light curve de-trended with a join instrumental + transit
model with the best fit transit model overlaid. The transit model
should be specified using the :py:obj:`transit_model` attribute
and should be an i... |
Masks certain elements in the array y and linearly interpolates over them returning an array y of the same length. | def Interpolate(time, mask, y):
'''
Masks certain elements in the array `y` and linearly
interpolates over them, returning an array `y'` of the
same length.
:param array_like time: The time array
:param array_like mask: The indices to be interpolated over
:param array_like y: The dependent ... |
Returns a generator of consecutive n - sized chunks of list l. If all is True returns ** all ** n - sized chunks in l by iterating over the starting point. | def Chunks(l, n, all=False):
'''
Returns a generator of consecutive `n`-sized chunks of list `l`.
If `all` is `True`, returns **all** `n`-sized chunks in `l`
by iterating over the starting point.
'''
if all:
jarr = range(0, n - 1)
else:
jarr = [0]
for j in jarr:
... |
Smooth data by convolving on a given timescale. | def Smooth(x, window_len=100, window='hanning'):
'''
Smooth data by convolving on a given timescale.
:param ndarray x: The data array
:param int window_len: The size of the smoothing window. Default `100`
:param str window: The window type. Default `hanning`
'''
if window_len == 0:
... |
Return the scatter in ppm based on the median running standard deviation for a window size of: py: obj: win = 13 cadences ( for K2 this is ~6. 5 hours as in VJ14 ). | def Scatter(y, win=13, remove_outliers=False):
'''
Return the scatter in ppm based on the median running standard deviation
for a window size of :py:obj:`win` = 13 cadences (for K2, this
is ~6.5 hours, as in VJ14).
:param ndarray y: The array whose CDPP is to be computed
:param int win: The win... |
Subtracts a second order Savitsky - Golay filter with window size win and returns the result. This acts as a high pass filter. | def SavGol(y, win=49):
'''
Subtracts a second order Savitsky-Golay filter with window size `win`
and returns the result. This acts as a high pass filter.
'''
if len(y) >= win:
return y - savgol_filter(y, win, 2) + np.nanmedian(y)
else:
return y |
Return the number of regressors for npix pixels and PLD order pld_order. | def NumRegressors(npix, pld_order, cross_terms=True):
'''
Return the number of regressors for `npix` pixels
and PLD order `pld_order`.
:param bool cross_terms: Include pixel cross-terms? Default :py:obj:`True`
'''
res = 0
for k in range(1, pld_order + 1):
if cross_terms:
... |
Downbins an array to a smaller size. | def Downbin(x, newsize, axis=0, operation='mean'):
'''
Downbins an array to a smaller size.
:param array_like x: The array to down-bin
:param int newsize: The new size of the axis along which to down-bin
:param int axis: The axis to operate on. Default 0
:param str operation: The operation to p... |
Called during the creation of a the: class: StdModel class when: class: Metaclass is initialised. It fills: attr: Field. name and: attr: Field. model. This is an internal function users should never call. | def register_with_model(self, name, model):
'''Called during the creation of a the :class:`StdModel`
class when :class:`Metaclass` is initialised. It fills
:attr:`Field.name` and :attr:`Field.model`. This is an internal
function users should never call.'''
if self.name:
raise FieldError('Fie... |
Add this: class: Field to the fields of: attr: model. | def add_to_fields(self):
'''Add this :class:`Field` to the fields of :attr:`model`.'''
meta = self.model._meta
meta.scalarfields.append(self)
if self.index:
meta.indices.append(self) |
called by the: class: Query method when it needs to build lookup on fields with additional nested fields. This is the case of: class: ForeignKey and: class: JSONField. | def get_lookup(self, remaining, errorClass=ValueError):
'''called by the :class:`Query` method when it needs to build
lookup on fields with additional nested fields. This is the case of
:class:`ForeignKey` and :class:`JSONField`.
:param remaining: the :ref:`double underscored` fields if this :class:`Field`
:pa... |
Retrieve the value: class: Field from a: class: StdModel instance. | def get_value(self, instance, *bits):
'''Retrieve the value :class:`Field` from a :class:`StdModel`
``instance``.
:param instance: The :class:`StdModel` ``instance`` invoking this function.
:param bits: Additional information for nested fields which derives from
the :ref:`double underscore <tutorial-unders... |
Set the value for this: class: Field in a instance of a: class: StdModel. | def set_value(self, instance, value):
'''Set the ``value`` for this :class:`Field` in a ``instance``
of a :class:`StdModel`.'''
setattr(instance, self.attname, self.to_python(value)) |
lookup the value of the var_name on the stack of contexts | def lookup(var_name, contexts=(), start=0):
"""lookup the value of the var_name on the stack of contexts
:var_name: TODO
:contexts: TODO
:returns: None if not found
"""
start = len(contexts) if start >=0 else start
for context in reversed(contexts[:start]):
try:
if var_... |
convert delimiters to corresponding regular expressions | def delimiters_to_re(delimiters):
"""convert delimiters to corresponding regular expressions"""
# caching
delimiters = tuple(delimiters)
if delimiters in re_delimiters:
re_tag = re_delimiters[delimiters]
else:
open_tag, close_tag = delimiters
# escape
open_tag = ''.... |
check if the string text [ start: end ] is standalone by checking forwards and backwards for blankspaces: text: TODO: ( start end ): TODO: returns: the start of next index after text [ start: end ] | def is_standalone(text, start, end):
"""check if the string text[start:end] is standalone by checking forwards
and backwards for blankspaces
:text: TODO
:(start, end): TODO
:returns: the start of next index after text[start:end]
"""
left = False
start -= 1
while start >= 0 and text[... |
Compile a template into token tree | def compiled(template, delimiters=DEFAULT_DELIMITERS):
"""Compile a template into token tree
:template: TODO
:delimiters: TODO
:returns: the root token
"""
re_tag = delimiters_to_re(delimiters)
# variable to save states
tokens = []
index = 0
sections = []
tokens_stack = []... |
Escape text according to self. escape | def _escape(self, text):
"""Escape text according to self.escape"""
ret = EMPTYSTRING if text is None else str(text)
if self.escape:
return html_escape(ret)
else:
return ret |
lookup value for names like a. b. c and handle filters as well | def _lookup(self, dot_name, contexts):
"""lookup value for names like 'a.b.c' and handle filters as well"""
# process filters
filters = [x for x in map(lambda x: x.strip(), dot_name.split('|'))]
dot_name = filters[0]
filters = filters[1:]
# should support paths like '..... |
Render the children tokens | def _render_children(self, contexts, partials):
"""Render the children tokens"""
ret = []
for child in self.children:
ret.append(child._render(contexts, partials))
return EMPTYSTRING.join(ret) |
render variable | def _render(self, contexts, partials):
"""render variable"""
value = self._lookup(self.value, contexts)
# lambda
if callable(value):
value = inner_render(str(value()), contexts, partials)
return self._escape(value) |
render section | def _render(self, contexts, partials):
"""render section"""
val = self._lookup(self.value, contexts)
if not val:
# false value
return EMPTYSTRING
# normally json has types: number/string/list/map
# but python has more, so we decide that map and string sho... |
render inverted section | def _render(self, contexts, partials):
"""render inverted section"""
val = self._lookup(self.value, contexts)
if val:
return EMPTYSTRING
return self._render_children(contexts, partials) |
render partials | def _render(self, contexts, partials):
"""render partials"""
try:
partial = partials[self.value]
except KeyError as e:
return self._escape(EMPTYSTRING)
partial = re_insert_indent.sub(r'\1' + ' '*self.indent, partial)
return inner_render(partial, contexts... |
Called when the code is installed. Sets up directories and downloads the K2 catalog. | def Setup():
'''
Called when the code is installed. Sets up directories and downloads
the K2 catalog.
'''
if not os.path.exists(os.path.join(EVEREST_DAT, 'k2', 'cbv')):
os.makedirs(os.path.join(EVEREST_DAT, 'k2', 'cbv'))
GetK2Stars(clobber=False) |
Compute the proxy 6 - hr CDPP metric. | def CDPP(flux, mask=[], cadence='lc'):
'''
Compute the proxy 6-hr CDPP metric.
:param array_like flux: The flux array to compute the CDPP for
:param array_like mask: The indices to be masked
:param str cadence: The light curve cadence. Default `lc`
'''
# 13 cadences is 6.5 hours
rmswi... |
Returns a: py: obj: DataContainer instance with the raw data for the target. | def GetData(EPIC, season=None, cadence='lc', clobber=False, delete_raw=False,
aperture_name='k2sff_15', saturated_aperture_name='k2sff_19',
max_pixels=75, download_only=False, saturation_tolerance=-0.1,
bad_bits=[1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 16, 17],
get_hir... |
Return neighbors random bright stars on the same module as EPIC. | def GetNeighbors(EPIC, season=None, model=None, neighbors=10,
mag_range=(11., 13.),
cdpp_range=None, aperture_name='k2sff_15',
cadence='lc', **kwargs):
'''
Return `neighbors` random bright stars on the same module as `EPIC`.
:param int EPIC: The EPIC ID nu... |
Computes and plots the CDPP statistics comparison between model and compare_to for all known K2 planets. | def PlanetStatistics(model='nPLD', compare_to='k2sff', **kwargs):
'''
Computes and plots the CDPP statistics comparison between `model` and
`compare_to` for all known K2 planets.
:param str model: The :py:obj:`everest` model name
:param str compare_to: The :py:obj:`everest` model name or \
... |
Computes and plots the CDPP statistics comparison between short cadence and long cadence de - trended light curves | def ShortCadenceStatistics(campaign=None, clobber=False, model='nPLD',
plot=True, **kwargs):
'''
Computes and plots the CDPP statistics comparison between short cadence
and long cadence de-trended light curves
:param campaign: The campaign number or list of campaign numbers. ... |
Computes and plots the CDPP statistics comparison between model and compare_to for all long cadence light curves in a given campaign | def Statistics(season=None, clobber=False, model='nPLD', injection=False,
compare_to='kepler', plot=True, cadence='lc', planets=False,
**kwargs):
'''
Computes and plots the CDPP statistics comparison between `model`
and `compare_to` for all long cadence light curves in a given ... |
Returns True if short cadence data is available for this target. | def HasShortCadence(EPIC, season=None):
'''
Returns `True` if short cadence data is available for this target.
:param int EPIC: The EPIC ID number
:param int season: The campaign number. Default :py:obj:`None`
'''
if season is None:
season = Campaign(EPIC)
if season is None:
... |
Computes and plots the statistics for injection/ recovery tests. | def InjectionStatistics(campaign=0, clobber=False, model='nPLD', plot=True,
show=True, **kwargs):
'''
Computes and plots the statistics for injection/recovery tests.
:param int campaign: The campaign number. Default 0
:param str model: The :py:obj:`everest` model name
:param... |
Generates HDU cards for inclusion in the de - trended light curve FITS file. Used internally. | def HDUCards(headers, hdu=0):
'''
Generates HDU cards for inclusion in the de-trended light curve FITS file.
Used internally.
'''
if headers is None:
return []
if hdu == 0:
# Get info from the TPF Primary HDU Header
tpf_header = headers[0]
entries = ['TELESCOP'... |
Returns the location of the: py: mod: everest data on disk for a given target. | def TargetDirectory(ID, season, relative=False, **kwargs):
'''
Returns the location of the :py:mod:`everest` data on disk
for a given target.
:param ID: The target ID
:param int season: The target season number
:param bool relative: Relative path? Default :py:obj:`False`
'''
if season... |
Returns the name of the DVS PDF for a given target. | def DVSFile(ID, season, cadence='lc'):
'''
Returns the name of the DVS PDF for a given target.
:param ID: The target ID
:param int season: The target season number
:param str cadence: The cadence type. Default `lc`
'''
if cadence == 'sc':
strcadence = '_sc'
else:
strca... |
Returns the design matrix of CBVs for the given target. | def GetTargetCBVs(model):
'''
Returns the design matrix of CBVs for the given target.
:param model: An instance of the :py:obj:`everest` model for the target
'''
# Get the info
season = model.season
name = model.name
# We use the LC light curves as CBVs; there aren't
# enough SC ... |
Fits the CBV design matrix to the de - trended flux of a given target. This is called internally whenever the user accesses the: py: attr: fcor attribute. | def FitCBVs(model):
'''
Fits the CBV design matrix to the de-trended flux of a given target. This
is called internally whenever the user accesses the :py:attr:`fcor`
attribute.
:param model: An instance of the :py:obj:`everest` model for the target
'''
# Get cbvs?
if model.XCBV is Non... |
Generate the CSV file used in the search database for the documentation. | def StatsToCSV(campaign, model='nPLD'):
'''
Generate the CSV file used in the search database for the documentation.
'''
statsfile = os.path.join(EVEREST_SRC, 'missions', 'k2',
'tables', 'c%02d_%s.cdpp' % (campaign, model))
csvfile = os.path.join(os.path.dirname(EVEREST_... |
Remove item for the: class: zset it it exists. If found it returns the score of the item removed. | def remove(self, item):
'''Remove ``item`` for the :class:`zset` it it exists.
If found it returns the score of the item removed.'''
score = self._dict.pop(item, None)
if score is not None:
self._sl.remove(score)
return score |
Return a tuple of ordered fields for this: class: ColumnTS. | def fields(self):
'''Return a tuple of ordered fields for this :class:`ColumnTS`.'''
key = self.id + ':fields'
encoding = self.client.encoding
return tuple(sorted((f.decode(encoding)
for f in self.client.smembers(key)))) |
Handle any pending relations to the sending model. Sent from class_prepared. | def do_pending_lookups(event, sender, **kwargs):
"""Handle any pending relations to the sending model.
Sent from class_prepared."""
key = (sender._meta.app_label, sender._meta.name)
for callback in pending_lookups.pop(key, []):
callback(sender) |
Create a Many2Many through model with two foreign key fields and a CompositeFieldId depending on the two foreign keys. | def Many2ManyThroughModel(field):
'''Create a Many2Many through model with two foreign key fields and a
CompositeFieldId depending on the two foreign keys.'''
from stdnet.odm import ModelType, StdModel, ForeignKey, CompositeIdField
name_model = field.model._meta.name
name_relmodel = field.relmodel.... |
formodel is the model which the manager. | def makeMany2ManyRelatedManager(formodel, name_relmodel, name_formodel):
'''formodel is the model which the manager .'''
class _Many2ManyRelatedManager(Many2ManyRelatedManager):
pass
_Many2ManyRelatedManager.formodel = formodel
_Many2ManyRelatedManager.name_relmodel = name_relmodel
... |
Override: meth: Manager. session so that this: class: RelatedManager can retrieve the session from the: attr: related_instance if available. | def session(self, session=None):
'''Override :meth:`Manager.session` so that this
:class:`RelatedManager` can retrieve the session from the
:attr:`related_instance` if available.
'''
if self.related_instance:
session = self.related_instance.session
# we... |
Add value an instance of: attr: formodel to the: attr: through model. This method can only be accessed by an instance of the model for which this related manager is an attribute. | def add(self, value, session=None, **kwargs):
'''Add ``value``, an instance of :attr:`formodel` to the
:attr:`through` model. This method can only be accessed by an instance of the
model for which this related manager is an attribute.'''
s, instance = self.session_instance('add', value, session, **k... |
Remove * value * an instance of self. model from the set of elements contained by the field. | def remove(self, value, session=None):
'''Remove *value*, an instance of ``self.model`` from the set of
elements contained by the field.'''
s, instance = self.session_instance('remove', value, session)
# update state so that the instance does look persistent
instance.get_state(iid=i... |
Double metaphone word processor. | def metaphone_processor(words):
'''Double metaphone word processor.'''
for word in words:
for w in double_metaphone(word):
if w:
w = w.strip()
if w:
yield w |
Double metaphone word processor slightly modified so that when no words are returned by the algorithm the original word is returned. | def tolerant_metaphone_processor(words):
'''Double metaphone word processor slightly modified so that when no
words are returned by the algorithm, the original word is returned.'''
for word in words:
r = 0
for w in double_metaphone(word):
if w:
w = w.strip()
... |
Porter Stemmer word processor | def stemming_processor(words):
'''Porter Stemmer word processor'''
stem = PorterStemmer().stem
for word in words:
word = stem(word, 0, len(word)-1)
yield word |
Chooses between the different pools. If pool == AnyPool chooses based on availability. | def Pool(pool='AnyPool', **kwargs):
'''
Chooses between the different pools.
If ``pool == 'AnyPool'``, chooses based on availability.
'''
if pool == 'MPIPool':
return MPIPool(**kwargs)
elif pool == 'MultiPool':
return MultiPool(**kwargs)
elif pool == 'SerialPool':
r... |
If this isn t the master process wait for instructions. | def wait(self):
"""
If this isn't the master process, wait for instructions.
"""
if self.is_master():
raise RuntimeError("Master node told to await jobs.")
status = MPI.Status()
while True:
# Event loop.
# Sit here and await instruct... |
Like the built - in: py: func: map function apply a function to all of the values in a list and return the list of results. | def map(self, function, tasks):
"""
Like the built-in :py:func:`map` function, apply a function to all
of the values in a list and return the list of results.
:param function:
The function to apply to the list.
:param tasks:
The list of elements.
... |
Just send a message off to all the pool members which contains the special: class: _close_pool_message sentinel. | def close(self):
"""
Just send a message off to all the pool members which contains
the special :class:`_close_pool_message` sentinel.
"""
if self.is_master():
for i in range(self.size):
self.comm.isend(_close_pool_message(), dest=i + 1) |
Decorator for committing changes when the instance session is not in a transaction. | def commit_when_no_transaction(f):
'''Decorator for committing changes when the instance session is
not in a transaction.'''
def _(self, *args, **kwargs):
r = f(self, *args, **kwargs)
return self.session.add(self) if self.session is not None else r
_.__name__ = f.__name__
_.__doc_... |
Returns the: class: stdnet. BackendStructure. | def backend(self):
'''Returns the :class:`stdnet.BackendStructure`.
'''
session = self.session
if session is not None:
if self._field:
return session.model(self._field.model).backend
else:
return session.model(self).backend |
Returns the: class: stdnet. BackendStructure. | def read_backend(self):
'''Returns the :class:`stdnet.BackendStructure`.
'''
session = self.session
if session is not None:
if self._field:
return session.model(self._field.model).read_backend
else:
return session.model(self... |
Number of elements in the: class: Structure. | def size(self):
'''Number of elements in the :class:`Structure`.'''
if self.cache.cache is None:
return self.read_backend_structure().size()
else:
return len(self.cache.cache) |
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