_id stringlengths 2 7 | title stringlengths 1 88 | partition stringclasses 3
values | text stringlengths 75 19.8k | language stringclasses 1
value | meta_information dict |
|---|---|---|---|---|---|
q225300 | sidereal_time | train | def sidereal_time(t):
"""Compute Greenwich sidereal time at the given ``Time``."""
# Compute the Earth Rotation Angle. Time argument is UT1.
theta = earth_rotation_angle(t.ut1)
# The equinox method. See Circular 179, Section 2.6.2.
# Precession-in-RA terms in mean sidereal time taken from third... | python | {
"resource": ""
} |
q225301 | refraction | train | def refraction(alt_degrees, temperature_C, pressure_mbar):
"""Given an observed altitude, return how much the image is refracted.
Zero refraction is returned both for objects very near the zenith,
as well as for objects more than one degree below the horizon.
"""
r = 0.016667 / tan((alt_degrees + ... | python | {
"resource": ""
} |
q225302 | refract | train | def refract(alt_degrees, temperature_C, pressure_mbar):
"""Given an unrefracted `alt` determine where it will appear in the sky."""
alt = alt_degrees
while True:
alt1 = alt
alt = alt_degrees + refraction(alt, temperature_C, pressure_mbar)
converged = abs(alt - alt1) <= 3.0e-5
... | python | {
"resource": ""
} |
q225303 | compute_precession | train | def compute_precession(jd_tdb):
"""Return the rotation matrices for precessing to an array of epochs.
`jd_tdb` - array of TDB Julian dates
The array returned has the shape `(3, 3, n)` where `n` is the number
of dates that have been provided as input.
"""
eps0 = 84381.406
# 't' is time in... | python | {
"resource": ""
} |
q225304 | compute_nutation | train | def compute_nutation(t):
"""Generate the nutation rotations for Time `t`.
If the Julian date is scalar, a simple ``(3, 3)`` matrix is
returned; if the date is an array of length ``n``, then an array of
matrices is returned with dimensions ``(3, 3, n)``.
"""
oblm, oblt, eqeq, psi, eps = t._eart... | python | {
"resource": ""
} |
q225305 | earth_tilt | train | def earth_tilt(t):
"""Return a tuple of information about the earth's axis and position.
`t` - A Time object.
The returned tuple contains five items:
``mean_ob`` - Mean obliquity of the ecliptic in degrees.
``true_ob`` - True obliquity of the ecliptic in degrees.
``eq_eq`` - Equation of the e... | python | {
"resource": ""
} |
q225306 | mean_obliquity | train | def mean_obliquity(jd_tdb):
"""Return the mean obliquity of the ecliptic in arcseconds.
`jd_tt` - TDB time as a Julian date float, or NumPy array of floats
"""
# Compute time in Julian centuries from epoch J2000.0.
t = (jd_tdb - T0) / 36525.0
# Compute the mean obliquity in arcseconds. Use ... | python | {
"resource": ""
} |
q225307 | equation_of_the_equinoxes_complimentary_terms | train | def equation_of_the_equinoxes_complimentary_terms(jd_tt):
"""Compute the complementary terms of the equation of the equinoxes.
`jd_tt` - Terrestrial Time: Julian date float, or NumPy array of floats
"""
# Interval between fundamental epoch J2000.0 and current date.
t = (jd_tt - T0) / 36525.0
... | python | {
"resource": ""
} |
q225308 | iau2000a | train | def iau2000a(jd_tt):
"""Compute Earth nutation based on the IAU 2000A nutation model.
`jd_tt` - Terrestrial Time: Julian date float, or NumPy array of floats
Returns a tuple ``(delta_psi, delta_epsilon)`` measured in tenths of
a micro-arcsecond. Each value is either a float, or a NumPy array
with... | python | {
"resource": ""
} |
q225309 | iau2000b | train | def iau2000b(jd_tt):
"""Compute Earth nutation based on the faster IAU 2000B nutation model.
`jd_tt` - Terrestrial Time: Julian date float, or NumPy array of floats
Returns a tuple ``(delta_psi, delta_epsilon)`` measured in tenths of
a micro-arcsecond. Each is either a float, or a NumPy array with
... | python | {
"resource": ""
} |
q225310 | load_dataframe | train | def load_dataframe(fobj, compression='gzip'):
"""Given an open file for `hip_main.dat.gz`, return a parsed dataframe.
If your copy of ``hip_main.dat`` has already been unzipped, pass the
optional argument ``compression=None``.
"""
try:
from pandas import read_fwf
except ImportError:
... | python | {
"resource": ""
} |
q225311 | Topos._altaz_rotation | train | def _altaz_rotation(self, t):
"""Compute the rotation from the ICRF into the alt-az system."""
R_lon = rot_z(- self.longitude.radians - t.gast * tau / 24.0)
return einsum('ij...,jk...,kl...->il...', self.R_lat, R_lon, t.M) | python | {
"resource": ""
} |
q225312 | Topos._at | train | def _at(self, t):
"""Compute the GCRS position and velocity of this Topos at time `t`."""
pos, vel = terra(self.latitude.radians, self.longitude.radians,
self.elevation.au, t.gast)
pos = einsum('ij...,j...->i...', t.MT, pos)
vel = einsum('ij...,j...->i...', t.MT,... | python | {
"resource": ""
} |
q225313 | osculating_elements_of | train | def osculating_elements_of(position, reference_frame=None):
"""Produce the osculating orbital elements for a position.
The ``position`` should be an :class:`~skyfield.positionlib.ICRF`
instance like that returned by the ``at()`` method of any Solar
System body, specifying a position, a velocity, and a ... | python | {
"resource": ""
} |
q225314 | theta_GMST1982 | train | def theta_GMST1982(jd_ut1):
"""Return the angle of Greenwich Mean Standard Time 1982 given the JD.
This angle defines the difference between the idiosyncratic True
Equator Mean Equinox (TEME) frame of reference used by SGP4 and the
more standard Pseudo Earth Fixed (PEF) frame of reference.
From AI... | python | {
"resource": ""
} |
q225315 | TEME_to_ITRF | train | def TEME_to_ITRF(jd_ut1, rTEME, vTEME, xp=0.0, yp=0.0):
"""Convert TEME position and velocity into standard ITRS coordinates.
This converts a position and velocity vector in the idiosyncratic
True Equator Mean Equinox (TEME) frame of reference used by the SGP4
theory into vectors into the more standard... | python | {
"resource": ""
} |
q225316 | EarthSatellite.ITRF_position_velocity_error | train | def ITRF_position_velocity_error(self, t):
"""Return the ITRF position, velocity, and error at time `t`.
The position is an x,y,z vector measured in au, the velocity is
an x,y,z vector measured in au/day, and the error is a vector of
possible error messages for the time or vector of tim... | python | {
"resource": ""
} |
q225317 | EarthSatellite._at | train | def _at(self, t):
"""Compute this satellite's GCRS position and velocity at time `t`."""
rITRF, vITRF, error = self.ITRF_position_velocity_error(t)
rGCRS, vGCRS = ITRF_to_GCRS2(t, rITRF, vITRF)
return rGCRS, vGCRS, rGCRS, error | python | {
"resource": ""
} |
q225318 | morrison_and_stephenson_2004_table | train | def morrison_and_stephenson_2004_table():
"""Table of smoothed Delta T values from Morrison and Stephenson, 2004."""
import pandas as pd
f = load.open('http://eclipse.gsfc.nasa.gov/SEcat5/deltat.html')
tables = pd.read_html(f.read())
df = tables[0]
return pd.DataFrame({'year': df[0], 'delta_t': ... | python | {
"resource": ""
} |
q225319 | angle_between | train | def angle_between(u_vec, v_vec):
"""Given 2 vectors in `v` and `u`, return the angle separating them.
This works whether `v` and `u` each have the shape ``(3,)``, or
whether they are each whole arrays of corresponding x, y, and z
coordinates and have shape ``(3, N)``. The returned angle will be
bet... | python | {
"resource": ""
} |
q225320 | Star._compute_vectors | train | def _compute_vectors(self):
"""Compute the star's position as an ICRF position and velocity."""
# Use 1 gigaparsec for stars whose parallax is zero.
parallax = self.parallax_mas
if parallax <= 0.0:
parallax = 1.0e-6
# Convert right ascension, declination, and paral... | python | {
"resource": ""
} |
q225321 | _to_array | train | def _to_array(value):
"""As a convenience, turn Python lists and tuples into NumPy arrays."""
if isinstance(value, (tuple, list)):
return array(value)
elif isinstance(value, (float, int)):
return np.float64(value)
else:
return value | python | {
"resource": ""
} |
q225322 | _sexagesimalize_to_float | train | def _sexagesimalize_to_float(value):
"""Decompose `value` into units, minutes, and seconds.
Note that this routine is not appropriate for displaying a value,
because rounding to the smallest digit of display is necessary
before showing a value to the user. Use `_sexagesimalize_to_int()`
for data b... | python | {
"resource": ""
} |
q225323 | _sexagesimalize_to_int | train | def _sexagesimalize_to_int(value, places=0):
"""Decompose `value` into units, minutes, seconds, and second fractions.
This routine prepares a value for sexagesimal display, with its
seconds fraction expressed as an integer with `places` digits. The
result is a tuple of five integers:
``(sign [eit... | python | {
"resource": ""
} |
q225324 | _hstr | train | def _hstr(hours, places=2):
"""Convert floating point `hours` into a sexagesimal string.
>>> _hstr(12.125)
'12h 07m 30.00s'
>>> _hstr(12.125, places=4)
'12h 07m 30.0000s'
>>> _hstr(float('nan'))
'nan'
"""
if isnan(hours):
return 'nan'
sgn, h, m, s, etc = _sexagesimalize... | python | {
"resource": ""
} |
q225325 | _dstr | train | def _dstr(degrees, places=1, signed=False):
r"""Convert floating point `degrees` into a sexagesimal string.
>>> _dstr(181.875)
'181deg 52\' 30.0"'
>>> _dstr(181.875, places=3)
'181deg 52\' 30.000"'
>>> _dstr(181.875, signed=True)
'+181deg 52\' 30.0"'
>>> _dstr(float('nan'))
'nan'
... | python | {
"resource": ""
} |
q225326 | _interpret_angle | train | def _interpret_angle(name, angle_object, angle_float, unit='degrees'):
"""Return an angle in radians from one of two arguments.
It is common for Skyfield routines to accept both an argument like
`alt` that takes an Angle object as well as an `alt_degrees` that
can be given a bare float or a sexagesimal... | python | {
"resource": ""
} |
q225327 | _interpret_ltude | train | def _interpret_ltude(value, name, psuffix, nsuffix):
"""Interpret a string, float, or tuple as a latitude or longitude angle.
`value` - The string to interpret.
`name` - 'latitude' or 'longitude', for use in exception messages.
`positive` - The string that indicates a positive angle ('N' or 'E').
`... | python | {
"resource": ""
} |
q225328 | Distance.to | train | def to(self, unit):
"""Convert this distance to the given AstroPy unit."""
from astropy.units import au
return (self.au * au).to(unit) | python | {
"resource": ""
} |
q225329 | Velocity.to | train | def to(self, unit):
"""Convert this velocity to the given AstroPy unit."""
from astropy.units import au, d
return (self.au_per_d * au / d).to(unit) | python | {
"resource": ""
} |
q225330 | Angle.hstr | train | def hstr(self, places=2, warn=True):
"""Convert to a string like ``12h 07m 30.00s``."""
if warn and self.preference != 'hours':
raise WrongUnitError('hstr')
if self.radians.size == 0:
return '<Angle []>'
hours = self._hours
shape = getattr(hours, 'shape', ... | python | {
"resource": ""
} |
q225331 | Angle.dstr | train | def dstr(self, places=1, warn=True):
"""Convert to a string like ``181deg 52\' 30.0"``."""
if warn and self.preference != 'degrees':
raise WrongUnitError('dstr')
if self.radians.size == 0:
return '<Angle []>'
degrees = self._degrees
signed = self.signed
... | python | {
"resource": ""
} |
q225332 | Angle.to | train | def to(self, unit):
"""Convert this angle to the given AstroPy unit."""
from astropy.units import rad
return (self.radians * rad).to(unit)
# Or should this do:
from astropy.coordinates import Angle
from astropy.units import rad
return Angle(self.radians, rad).to(... | python | {
"resource": ""
} |
q225333 | ICRF.separation_from | train | def separation_from(self, another_icrf):
"""Return the angle between this position and another.
>>> print(ICRF([1,0,0]).separation_from(ICRF([1,1,0])))
45deg 00' 00.0"
You can also compute separations across an array of positions.
>>> directions = ICRF([[1,0,-1,0], [0,1,0,-1],... | python | {
"resource": ""
} |
q225334 | ICRF.to_skycoord | train | def to_skycoord(self, unit=None):
"""Convert this distance to an AstroPy ``SkyCoord`` object."""
from astropy.coordinates import SkyCoord
from astropy.units import au
x, y, z = self.position.au
return SkyCoord(representation='cartesian', x=x, y=y, z=z, unit=au) | python | {
"resource": ""
} |
q225335 | ICRF.from_altaz | train | def from_altaz(self, alt=None, az=None, alt_degrees=None, az_degrees=None,
distance=Distance(au=0.1)):
"""Generate an Apparent position from an altitude and azimuth.
The altitude and azimuth can each be provided as an `Angle`
object, or else as a number of degrees provided as... | python | {
"resource": ""
} |
q225336 | Barycentric.observe | train | def observe(self, body):
"""Compute the `Astrometric` position of a body from this location.
To compute the body's astrometric position, it is first asked
for its position at the time `t` of this position itself. The
distance to the body is then divided by the speed of light to
... | python | {
"resource": ""
} |
q225337 | Geocentric.subpoint | train | def subpoint(self):
"""Return the latitude and longitude directly beneath this position.
Returns a :class:`~skyfield.toposlib.Topos` whose ``longitude``
and ``latitude`` are those of the point on the Earth's surface
directly beneath this position, and whose ``elevation`` is the
... | python | {
"resource": ""
} |
q225338 | _plot_stars | train | def _plot_stars(catalog, observer, project, ax, mag1, mag2, margin=1.25):
"""Experiment in progress, hence the underscore; expect changes."""
art = []
# from astropy import wcs
# w = wcs.WCS(naxis=2)
# w.wcs.crpix = [-234.75, 8.3393]
# w.wcs.cdelt = np.array([-0.066667, 0.066667])
# w.wcs.... | python | {
"resource": ""
} |
q225339 | phase_angle | train | def phase_angle(ephemeris, body, t):
"""Compute the phase angle of a body viewed from Earth.
The ``body`` should be an integer or string that can be looked up in
the given ``ephemeris``, which will also be asked to provide
positions for the Earth and Sun. The return value will be an
:class:`~skyfi... | python | {
"resource": ""
} |
q225340 | fraction_illuminated | train | def fraction_illuminated(ephemeris, body, t):
"""Compute the illuminated fraction of a body viewed from Earth.
The ``body`` should be an integer or string that can be looked up in
the given ``ephemeris``, which will also be asked to provide
positions for the Earth and Sun. The return value will be a
... | python | {
"resource": ""
} |
q225341 | find_discrete | train | def find_discrete(start_time, end_time, f, epsilon=EPSILON, num=12):
"""Find the times when a function changes value.
Searches between ``start_time`` and ``end_time``, which should both
be :class:`~skyfield.timelib.Time` objects, for the occasions where
the function ``f`` changes from one value to anot... | python | {
"resource": ""
} |
q225342 | seasons | train | def seasons(ephemeris):
"""Build a function of time that returns the quarter of the year.
The function that this returns will expect a single argument that is
a :class:`~skyfield.timelib.Time` and will return 0 through 3 for
the seasons Spring, Summer, Autumn, and Winter.
"""
earth = ephemeris... | python | {
"resource": ""
} |
q225343 | sunrise_sunset | train | def sunrise_sunset(ephemeris, topos):
"""Build a function of time that returns whether the sun is up.
The function that this returns will expect a single argument that is
a :class:`~skyfield.timelib.Time` and will return ``True`` if the
sun is up, else ``False``.
"""
sun = ephemeris['sun']
... | python | {
"resource": ""
} |
q225344 | moon_phases | train | def moon_phases(ephemeris):
"""Build a function of time that returns the moon phase 0 through 3.
The function that this returns will expect a single argument that is
a :class:`~skyfield.timelib.Time` and will return the phase of the
moon as an integer. See the accompanying array ``MOON_PHASES`` if
... | python | {
"resource": ""
} |
q225345 | _derive_stereographic | train | def _derive_stereographic():
"""Compute the formulae to cut-and-paste into the routine below."""
from sympy import symbols, atan2, acos, rot_axis1, rot_axis3, Matrix
x_c, y_c, z_c, x, y, z = symbols('x_c y_c z_c x y z')
# The angles we'll need to rotate through.
around_z = atan2(x_c, y_c)
aroun... | python | {
"resource": ""
} |
q225346 | classifier_factory | train | def classifier_factory(clf):
"""Embeds scikit-plot instance methods in an sklearn classifier.
Args:
clf: Scikit-learn classifier instance
Returns:
The same scikit-learn classifier instance passed in **clf**
with embedded scikit-plot instance methods.
Raises:
ValueError... | python | {
"resource": ""
} |
q225347 | plot_confusion_matrix_with_cv | train | def plot_confusion_matrix_with_cv(clf, X, y, labels=None, true_labels=None,
pred_labels=None, title=None,
normalize=False, hide_zeros=False,
x_tick_rotation=0, do_cv=True, cv=None,
shu... | python | {
"resource": ""
} |
q225348 | plot_ks_statistic_with_cv | train | def plot_ks_statistic_with_cv(clf, X, y, title='KS Statistic Plot',
do_cv=True, cv=None, shuffle=True,
random_state=None, ax=None, figsize=None,
title_fontsize="large", text_fontsize="medium"):
"""Generates the KS Statistic pl... | python | {
"resource": ""
} |
q225349 | plot_confusion_matrix | train | def plot_confusion_matrix(y_true, y_pred, labels=None, true_labels=None,
pred_labels=None, title=None, normalize=False,
hide_zeros=False, x_tick_rotation=0, ax=None,
figsize=None, cmap='Blues', title_fontsize="large",
... | python | {
"resource": ""
} |
q225350 | plot_feature_importances | train | def plot_feature_importances(clf, title='Feature Importance',
feature_names=None, max_num_features=20,
order='descending', x_tick_rotation=0, ax=None,
figsize=None, title_fontsize="large",
text_fontsize="... | python | {
"resource": ""
} |
q225351 | plot_silhouette | train | def plot_silhouette(clf, X, title='Silhouette Analysis', metric='euclidean',
copy=True, ax=None, figsize=None, cmap='nipy_spectral',
title_fontsize="large", text_fontsize="medium"):
"""Plots silhouette analysis of clusters using fit_predict.
Args:
clf: Clusterer ... | python | {
"resource": ""
} |
q225352 | _clone_and_score_clusterer | train | def _clone_and_score_clusterer(clf, X, n_clusters):
"""Clones and scores clusterer instance.
Args:
clf: Clusterer instance that implements ``fit``,``fit_predict``, and
``score`` methods, and an ``n_clusters`` hyperparameter.
e.g. :class:`sklearn.cluster.KMeans` instance
... | python | {
"resource": ""
} |
q225353 | plot_learning_curve | train | def plot_learning_curve(clf, X, y, title='Learning Curve', cv=None,
shuffle=False, random_state=None,
train_sizes=None, n_jobs=1, scoring=None,
ax=None, figsize=None, title_fontsize="large",
text_fontsize="medium"):
"""G... | python | {
"resource": ""
} |
q225354 | plot_calibration_curve | train | def plot_calibration_curve(y_true, probas_list, clf_names=None, n_bins=10,
title='Calibration plots (Reliability Curves)',
ax=None, figsize=None, cmap='nipy_spectral',
title_fontsize="large", text_fontsize="medium"):
"""Plots calibrati... | python | {
"resource": ""
} |
q225355 | clustering_factory | train | def clustering_factory(clf):
"""Embeds scikit-plot plotting methods in an sklearn clusterer instance.
Args:
clf: Scikit-learn clusterer instance
Returns:
The same scikit-learn clusterer instance passed in **clf** with
embedded scikit-plot instance methods.
Raises:
Valu... | python | {
"resource": ""
} |
q225356 | validate_labels | train | def validate_labels(known_classes, passed_labels, argument_name):
"""Validates the labels passed into the true_labels or pred_labels
arguments in the plot_confusion_matrix function.
Raises a ValueError exception if any of the passed labels are not in the
set of known classes or if there are duplicate l... | python | {
"resource": ""
} |
q225357 | cumulative_gain_curve | train | def cumulative_gain_curve(y_true, y_score, pos_label=None):
"""This function generates the points necessary to plot the Cumulative Gain
Note: This implementation is restricted to the binary classification task.
Args:
y_true (array-like, shape (n_samples)): True labels of the data.
y_score... | python | {
"resource": ""
} |
q225358 | getargspec | train | def getargspec(func):
"""
Used because getargspec for python 2.7 does not accept functools.partial
which is the type for pytest fixtures.
getargspec excerpted from:
sphinx.util.inspect
~~~~~~~~~~~~~~~~~~~
Helpers for inspecting Python modules.
:copyright: Copyright 2007-2018 by the Sph... | python | {
"resource": ""
} |
q225359 | QueryStringManager.querystring | train | def querystring(self):
"""Return original querystring but containing only managed keys
:return dict: dict of managed querystring parameter
"""
return {key: value for (key, value) in self.qs.items()
if key.startswith(self.MANAGED_KEYS) or self._get_key_values('filter[')} | python | {
"resource": ""
} |
q225360 | QueryStringManager.filters | train | def filters(self):
"""Return filters from query string.
:return list: filter information
"""
results = []
filters = self.qs.get('filter')
if filters is not None:
try:
results.extend(json.loads(filters))
except (ValueError, TypeErro... | python | {
"resource": ""
} |
q225361 | QueryStringManager.pagination | train | def pagination(self):
"""Return all page parameters as a dict.
:return dict: a dict of pagination information
To allow multiples strategies, all parameters starting with `page` will be included. e.g::
{
"number": '25',
"size": '150',
}
... | python | {
"resource": ""
} |
q225362 | QueryStringManager.fields | train | def fields(self):
"""Return fields wanted by client.
:return dict: a dict of sparse fieldsets information
Return value will be a dict containing all fields by resource, for example::
{
"user": ['name', 'email'],
}
"""
result = self._get... | python | {
"resource": ""
} |
q225363 | QueryStringManager.sorting | train | def sorting(self):
"""Return fields to sort by including sort name for SQLAlchemy and row
sort parameter for other ORMs
:return list: a list of sorting information
Example of return value::
[
{'field': 'created_at', 'order': 'desc'},
]
... | python | {
"resource": ""
} |
q225364 | QueryStringManager.include | train | def include(self):
"""Return fields to include
:return list: a list of include information
"""
include_param = self.qs.get('include', [])
if current_app.config.get('MAX_INCLUDE_DEPTH') is not None:
for include_path in include_param:
if len(include_pa... | python | {
"resource": ""
} |
q225365 | JsonApiException.to_dict | train | def to_dict(self):
"""Return values of each fields of an jsonapi error"""
error_dict = {}
for field in ('status', 'source', 'title', 'detail', 'id', 'code', 'links', 'meta'):
if getattr(self, field, None):
error_dict.update({field: getattr(self, field)})
retu... | python | {
"resource": ""
} |
q225366 | Resource.dispatch_request | train | def dispatch_request(self, *args, **kwargs):
"""Logic of how to handle a request"""
method = getattr(self, request.method.lower(), None)
if method is None and request.method == 'HEAD':
method = getattr(self, 'get', None)
assert method is not None, 'Unimplemented method {}'.fo... | python | {
"resource": ""
} |
q225367 | ResourceList.get | train | def get(self, *args, **kwargs):
"""Retrieve a collection of objects"""
self.before_get(args, kwargs)
qs = QSManager(request.args, self.schema)
objects_count, objects = self.get_collection(qs, kwargs)
schema_kwargs = getattr(self, 'get_schema_kwargs', dict())
schema_kwa... | python | {
"resource": ""
} |
q225368 | ResourceList.post | train | def post(self, *args, **kwargs):
"""Create an object"""
json_data = request.get_json() or {}
qs = QSManager(request.args, self.schema)
schema = compute_schema(self.schema,
getattr(self, 'post_schema_kwargs', dict()),
qs,
... | python | {
"resource": ""
} |
q225369 | ResourceDetail.get | train | def get(self, *args, **kwargs):
"""Get object details"""
self.before_get(args, kwargs)
qs = QSManager(request.args, self.schema)
obj = self.get_object(kwargs, qs)
self.before_marshmallow(args, kwargs)
schema = compute_schema(self.schema,
... | python | {
"resource": ""
} |
q225370 | ResourceDetail.patch | train | def patch(self, *args, **kwargs):
"""Update an object"""
json_data = request.get_json() or {}
qs = QSManager(request.args, self.schema)
schema_kwargs = getattr(self, 'patch_schema_kwargs', dict())
schema_kwargs.update({'partial': True})
self.before_marshmallow(args, kwa... | python | {
"resource": ""
} |
q225371 | ResourceDetail.delete | train | def delete(self, *args, **kwargs):
"""Delete an object"""
self.before_delete(args, kwargs)
self.delete_object(kwargs)
result = {'meta': {'message': 'Object successfully deleted'}}
final_result = self.after_delete(result)
return final_result | python | {
"resource": ""
} |
q225372 | ResourceRelationship.get | train | def get(self, *args, **kwargs):
"""Get a relationship details"""
self.before_get(args, kwargs)
relationship_field, model_relationship_field, related_type_, related_id_field = self._get_relationship_data()
obj, data = self._data_layer.get_relationship(model_relationship_field,
... | python | {
"resource": ""
} |
q225373 | ResourceRelationship.patch | train | def patch(self, *args, **kwargs):
"""Update a relationship"""
json_data = request.get_json() or {}
relationship_field, model_relationship_field, related_type_, related_id_field = self._get_relationship_data()
if 'data' not in json_data:
raise BadRequest('You must provide da... | python | {
"resource": ""
} |
q225374 | ResourceRelationship._get_relationship_data | train | def _get_relationship_data(self):
"""Get useful data for relationship management"""
relationship_field = request.path.split('/')[-1].replace('-', '_')
if relationship_field not in get_relationships(self.schema):
raise RelationNotFound("{} has no attribute {}".format(self.schema.__na... | python | {
"resource": ""
} |
q225375 | compute_schema | train | def compute_schema(schema_cls, default_kwargs, qs, include):
"""Compute a schema around compound documents and sparse fieldsets
:param Schema schema_cls: the schema class
:param dict default_kwargs: the schema default kwargs
:param QueryStringManager qs: qs
:param list include: the relation field t... | python | {
"resource": ""
} |
q225376 | get_model_field | train | def get_model_field(schema, field):
"""Get the model field of a schema field
:param Schema schema: a marshmallow schema
:param str field: the name of the schema field
:return str: the name of the field in the model
"""
if schema._declared_fields.get(field) is None:
raise Exception("{} h... | python | {
"resource": ""
} |
q225377 | get_nested_fields | train | def get_nested_fields(schema, model_field=False):
"""Return nested fields of a schema to support a join
:param Schema schema: a marshmallow schema
:param boolean model_field: whether to extract the model field for the nested fields
:return list: list of nested fields of the schema
"""
nested_f... | python | {
"resource": ""
} |
q225378 | get_relationships | train | def get_relationships(schema, model_field=False):
"""Return relationship fields of a schema
:param Schema schema: a marshmallow schema
:param list: list of relationship fields of a schema
"""
relationships = [key for (key, value) in schema._declared_fields.items() if isinstance(value, Relationship)... | python | {
"resource": ""
} |
q225379 | get_schema_from_type | train | def get_schema_from_type(resource_type):
"""Retrieve a schema from the registry by his type
:param str type_: the type of the resource
:return Schema: the schema class
"""
for cls_name, cls in class_registry._registry.items():
try:
if cls[0].opts.type_ == resource_type:
... | python | {
"resource": ""
} |
q225380 | get_schema_field | train | def get_schema_field(schema, field):
"""Get the schema field of a model field
:param Schema schema: a marshmallow schema
:param str field: the name of the model field
:return str: the name of the field in the schema
"""
schema_fields_to_model = {key: get_model_field(schema, key) for (key, value... | python | {
"resource": ""
} |
q225381 | BaseDataLayer.bound_rewritable_methods | train | def bound_rewritable_methods(self, methods):
"""Bound additional methods to current instance
:param class meta: information from Meta class used to configure the data layer instance
"""
for key, value in methods.items():
if key in self.REWRITABLE_METHODS:
set... | python | {
"resource": ""
} |
q225382 | create_filters | train | def create_filters(model, filter_info, resource):
"""Apply filters from filters information to base query
:param DeclarativeMeta model: the model of the node
:param dict filter_info: current node filter information
:param Resource resource: the resource
"""
filters = []
for filter_ in filte... | python | {
"resource": ""
} |
q225383 | Node.resolve | train | def resolve(self):
"""Create filter for a particular node of the filter tree"""
if 'or' not in self.filter_ and 'and' not in self.filter_ and 'not' not in self.filter_:
value = self.value
if isinstance(value, dict):
value = Node(self.related_model, value, self.re... | python | {
"resource": ""
} |
q225384 | Node.name | train | def name(self):
"""Return the name of the node or raise a BadRequest exception
:return str: the name of the field to filter on
"""
name = self.filter_.get('name')
if name is None:
raise InvalidFilters("Can't find name of a filter")
if '__' in name:
... | python | {
"resource": ""
} |
q225385 | Node.column | train | def column(self):
"""Get the column object
:param DeclarativeMeta model: the model
:param str field: the field
:return InstrumentedAttribute: the column to filter on
"""
field = self.name
model_field = get_model_field(self.schema, field)
try:
... | python | {
"resource": ""
} |
q225386 | Node.operator | train | def operator(self):
"""Get the function operator from his name
:return callable: a callable to make operation on a column
"""
operators = (self.op, self.op + '_', '__' + self.op + '__')
for op in operators:
if hasattr(self.column, op):
return op
... | python | {
"resource": ""
} |
q225387 | Node.value | train | def value(self):
"""Get the value to filter on
:return: the value to filter on
"""
if self.filter_.get('field') is not None:
try:
result = getattr(self.model, self.filter_['field'])
except AttributeError:
raise InvalidFilters("{} h... | python | {
"resource": ""
} |
q225388 | Node.related_model | train | def related_model(self):
"""Get the related model of a relationship field
:return DeclarativeMeta: the related model
"""
relationship_field = self.name
if relationship_field not in get_relationships(self.schema):
raise InvalidFilters("{} has no relationship attribut... | python | {
"resource": ""
} |
q225389 | Node.related_schema | train | def related_schema(self):
"""Get the related schema of a relationship field
:return Schema: the related schema
"""
relationship_field = self.name
if relationship_field not in get_relationships(self.schema):
raise InvalidFilters("{} has no relationship attribute {}".... | python | {
"resource": ""
} |
q225390 | Api.init_app | train | def init_app(self, app=None, blueprint=None, additional_blueprints=None):
"""Update flask application with our api
:param Application app: a flask application
"""
if app is not None:
self.app = app
if blueprint is not None:
self.blueprint = blueprint
... | python | {
"resource": ""
} |
q225391 | Api.route | train | def route(self, resource, view, *urls, **kwargs):
"""Create an api view.
:param Resource resource: a resource class inherited from flask_rest_jsonapi.resource.Resource
:param str view: the view name
:param list urls: the urls of the view
:param dict kwargs: additional options of... | python | {
"resource": ""
} |
q225392 | Api.oauth_manager | train | def oauth_manager(self, oauth_manager):
"""Use the oauth manager to enable oauth for API
:param oauth_manager: the oauth manager
"""
@self.app.before_request
def before_request():
endpoint = request.endpoint
resource = self.app.view_functions[endpoint].vi... | python | {
"resource": ""
} |
q225393 | Api.build_scope | train | def build_scope(resource, method):
"""Compute the name of the scope for oauth
:param Resource resource: the resource manager
:param str method: an http method
:return str: the name of the scope
"""
if ResourceList in inspect.getmro(resource) and method == 'GET':
... | python | {
"resource": ""
} |
q225394 | Api.permission_manager | train | def permission_manager(self, permission_manager):
"""Use permission manager to enable permission for API
:param callable permission_manager: the permission manager
"""
self.check_permissions = permission_manager
for resource in self.resource_registry:
if getattr(res... | python | {
"resource": ""
} |
q225395 | Api.has_permission | train | def has_permission(self, *args, **kwargs):
"""Decorator used to check permissions before to call resource manager method"""
def wrapper(view):
if getattr(view, '_has_permissions_decorator', False) is True:
return view
@wraps(view)
@jsonapi_exception_f... | python | {
"resource": ""
} |
q225396 | check_headers | train | def check_headers(func):
"""Check headers according to jsonapi reference
:param callable func: the function to decorate
:return callable: the wrapped function
"""
@wraps(func)
def wrapper(*args, **kwargs):
if request.method in ('POST', 'PATCH'):
if 'Content-Type' in request.... | python | {
"resource": ""
} |
q225397 | check_method_requirements | train | def check_method_requirements(func):
"""Check methods requirements
:param callable func: the function to decorate
:return callable: the wrapped function
"""
@wraps(func)
def wrapper(*args, **kwargs):
error_message = "You must provide {error_field} in {cls} to get access to the default {... | python | {
"resource": ""
} |
q225398 | SqlalchemyDataLayer.create_object | train | def create_object(self, data, view_kwargs):
"""Create an object through sqlalchemy
:param dict data: the data validated by marshmallow
:param dict view_kwargs: kwargs from the resource view
:return DeclarativeMeta: an object from sqlalchemy
"""
self.before_create_object(... | python | {
"resource": ""
} |
q225399 | SqlalchemyDataLayer.get_object | train | def get_object(self, view_kwargs, qs=None):
"""Retrieve an object through sqlalchemy
:params dict view_kwargs: kwargs from the resource view
:return DeclarativeMeta: an object from sqlalchemy
"""
self.before_get_object(view_kwargs)
id_field = getattr(self, 'id_field', i... | python | {
"resource": ""
} |
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