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def _dump_point(obj, big_endian, meta):
"""
Dump a GeoJSON-like `dict` to a point WKB string.
:param dict obj:
GeoJson-like `dict` object.
:param bool big_endian:
If `True`, data values in the generated WKB will be represented using
big endian byte order. Else, little endian.
:param dict meta:
Metadata associated with the GeoJSON object. Currently supported
metadata:
- srid: Used to support EWKT/EWKB. For example, ``meta`` equal to
``{'srid': '4326'}`` indicates that the geometry is defined using
Extended WKT/WKB and that it bears a Spatial Reference System
Identifier of 4326. This ID will be encoded into the resulting
binary.
Any other meta data objects will simply be ignored by this function.
:returns:
A WKB binary string representing of the Point ``obj``.
"""
coords = obj['coordinates']
num_dims = len(coords)
wkb_string, byte_fmt, _ = _header_bytefmt_byteorder(
'Point', num_dims, big_endian, meta
)
wkb_string += struct.pack(byte_fmt, *coords)
return wkb_string
|
def _dump_linestring(obj, big_endian, meta):
"""
Dump a GeoJSON-like `dict` to a linestring WKB string.
Input parameters and output are similar to :func:`_dump_point`.
"""
coords = obj['coordinates']
vertex = coords[0]
# Infer the number of dimensions from the first vertex
num_dims = len(vertex)
wkb_string, byte_fmt, byte_order = _header_bytefmt_byteorder(
'LineString', num_dims, big_endian, meta
)
# append number of vertices in linestring
wkb_string += struct.pack('%sl' % byte_order, len(coords))
for vertex in coords:
wkb_string += struct.pack(byte_fmt, *vertex)
return wkb_string
|
def _dump_multipoint(obj, big_endian, meta):
"""
Dump a GeoJSON-like `dict` to a multipoint WKB string.
Input parameters and output are similar to :funct:`_dump_point`.
"""
coords = obj['coordinates']
vertex = coords[0]
num_dims = len(vertex)
wkb_string, byte_fmt, byte_order = _header_bytefmt_byteorder(
'MultiPoint', num_dims, big_endian, meta
)
point_type = _WKB[_INT_TO_DIM_LABEL.get(num_dims)]['Point']
if big_endian:
point_type = BIG_ENDIAN + point_type
else:
point_type = LITTLE_ENDIAN + point_type[::-1]
wkb_string += struct.pack('%sl' % byte_order, len(coords))
for vertex in coords:
# POINT type strings
wkb_string += point_type
wkb_string += struct.pack(byte_fmt, *vertex)
return wkb_string
|
def _dump_multilinestring(obj, big_endian, meta):
"""
Dump a GeoJSON-like `dict` to a multilinestring WKB string.
Input parameters and output are similar to :funct:`_dump_point`.
"""
coords = obj['coordinates']
vertex = coords[0][0]
num_dims = len(vertex)
wkb_string, byte_fmt, byte_order = _header_bytefmt_byteorder(
'MultiLineString', num_dims, big_endian, meta
)
ls_type = _WKB[_INT_TO_DIM_LABEL.get(num_dims)]['LineString']
if big_endian:
ls_type = BIG_ENDIAN + ls_type
else:
ls_type = LITTLE_ENDIAN + ls_type[::-1]
# append the number of linestrings
wkb_string += struct.pack('%sl' % byte_order, len(coords))
for linestring in coords:
wkb_string += ls_type
# append the number of vertices in each linestring
wkb_string += struct.pack('%sl' % byte_order, len(linestring))
for vertex in linestring:
wkb_string += struct.pack(byte_fmt, *vertex)
return wkb_string
|
def _dump_multipolygon(obj, big_endian, meta):
"""
Dump a GeoJSON-like `dict` to a multipolygon WKB string.
Input parameters and output are similar to :funct:`_dump_point`.
"""
coords = obj['coordinates']
vertex = coords[0][0][0]
num_dims = len(vertex)
wkb_string, byte_fmt, byte_order = _header_bytefmt_byteorder(
'MultiPolygon', num_dims, big_endian, meta
)
poly_type = _WKB[_INT_TO_DIM_LABEL.get(num_dims)]['Polygon']
if big_endian:
poly_type = BIG_ENDIAN + poly_type
else:
poly_type = LITTLE_ENDIAN + poly_type[::-1]
# apped the number of polygons
wkb_string += struct.pack('%sl' % byte_order, len(coords))
for polygon in coords:
# append polygon header
wkb_string += poly_type
# append the number of rings in this polygon
wkb_string += struct.pack('%sl' % byte_order, len(polygon))
for ring in polygon:
# append the number of vertices in this ring
wkb_string += struct.pack('%sl' % byte_order, len(ring))
for vertex in ring:
wkb_string += struct.pack(byte_fmt, *vertex)
return wkb_string
|
def _load_point(big_endian, type_bytes, data_bytes):
"""
Convert byte data for a Point to a GeoJSON `dict`.
:param bool big_endian:
If `True`, interpret the ``data_bytes`` in big endian order, else
little endian.
:param str type_bytes:
4-byte integer (as a binary string) indicating the geometry type
(Point) and the dimensions (2D, Z, M or ZM). For consistency, these
bytes are expected to always be in big endian order, regardless of the
value of ``big_endian``.
:param str data_bytes:
Coordinate data in a binary string.
:returns:
GeoJSON `dict` representing the Point geometry.
"""
endian_token = '>' if big_endian else '<'
if type_bytes == WKB_2D['Point']:
coords = struct.unpack('%sdd' % endian_token,
as_bin_str(take(16, data_bytes)))
elif type_bytes == WKB_Z['Point']:
coords = struct.unpack('%sddd' % endian_token,
as_bin_str(take(24, data_bytes)))
elif type_bytes == WKB_M['Point']:
# NOTE: The use of XYM types geometries is quite rare. In the interest
# of removing ambiguity, we will treat all XYM geometries as XYZM when
# generate the GeoJSON. A default Z value of `0.0` will be given in
# this case.
coords = list(struct.unpack('%sddd' % endian_token,
as_bin_str(take(24, data_bytes))))
coords.insert(2, 0.0)
elif type_bytes == WKB_ZM['Point']:
coords = struct.unpack('%sdddd' % endian_token,
as_bin_str(take(32, data_bytes)))
return dict(type='Point', coordinates=list(coords))
|
def dumps(obj, decimals=16):
"""
Dump a GeoJSON-like `dict` to a WKT string.
"""
try:
geom_type = obj['type']
exporter = _dumps_registry.get(geom_type)
if exporter is None:
_unsupported_geom_type(geom_type)
# Check for empty cases
if geom_type == 'GeometryCollection':
if len(obj['geometries']) == 0:
return 'GEOMETRYCOLLECTION EMPTY'
else:
# Geom has no coordinate values at all, and must be empty.
if len(list(util.flatten_multi_dim(obj['coordinates']))) == 0:
return '%s EMPTY' % geom_type.upper()
except KeyError:
raise geomet.InvalidGeoJSONException('Invalid GeoJSON: %s' % obj)
result = exporter(obj, decimals)
# Try to get the SRID from `meta.srid`
meta_srid = obj.get('meta', {}).get('srid')
# Also try to get it from `crs.properties.name`:
crs_srid = obj.get('crs', {}).get('properties', {}).get('name')
if crs_srid is not None:
# Shave off the EPSG prefix to give us the SRID:
crs_srid = crs_srid.replace('EPSG', '')
if (meta_srid is not None and
crs_srid is not None and
str(meta_srid) != str(crs_srid)):
raise ValueError(
'Ambiguous CRS/SRID values: %s and %s' % (meta_srid, crs_srid)
)
srid = meta_srid or crs_srid
# TODO: add tests for CRS input
if srid is not None:
# Prepend the SRID
result = 'SRID=%s;%s' % (srid, result)
return result
|
def loads(string):
"""
Construct a GeoJSON `dict` from WKT (`string`).
"""
sio = StringIO.StringIO(string)
# NOTE: This is not the intended purpose of `tokenize`, but it works.
tokens = (x[1] for x in tokenize.generate_tokens(sio.readline))
tokens = _tokenize_wkt(tokens)
geom_type_or_srid = next(tokens)
srid = None
geom_type = geom_type_or_srid
if geom_type_or_srid == 'SRID':
# The geometry WKT contains an SRID header.
_assert_next_token(tokens, '=')
srid = int(next(tokens))
_assert_next_token(tokens, ';')
# We expected the geometry type to be next:
geom_type = next(tokens)
else:
geom_type = geom_type_or_srid
importer = _loads_registry.get(geom_type)
if importer is None:
_unsupported_geom_type(geom_type)
peek = six.advance_iterator(tokens)
if peek == 'EMPTY':
if geom_type == 'GEOMETRYCOLLECTION':
return dict(type='GeometryCollection', geometries=[])
else:
return dict(type=_type_map_caps_to_mixed[geom_type],
coordinates=[])
# Put the peeked element back on the head of the token generator
tokens = itertools.chain([peek], tokens)
result = importer(tokens, string)
if srid is not None:
result['meta'] = dict(srid=srid)
return result
|
def _tokenize_wkt(tokens):
"""
Since the tokenizer treats "-" and numeric strings as separate values,
combine them and yield them as a single token. This utility encapsulates
parsing of negative numeric values from WKT can be used generically in all
parsers.
"""
negative = False
for t in tokens:
if t == '-':
negative = True
continue
else:
if negative:
yield '-%s' % t
else:
yield t
negative = False
|
def _round_and_pad(value, decimals):
"""
Round the input value to `decimals` places, and pad with 0's
if the resulting value is less than `decimals`.
:param value:
The value to round
:param decimals:
Number of decimals places which should be displayed after the rounding.
:return:
str of the rounded value
"""
if isinstance(value, int) and decimals != 0:
# if we get an int coordinate and we have a non-zero value for
# `decimals`, we want to create a float to pad out.
value = float(value)
elif decimals == 0:
# if get a `decimals` value of 0, we want to return an int.
return repr(int(round(value, decimals)))
rounded = repr(round(value, decimals))
rounded += '0' * (decimals - len(rounded.split('.')[1]))
return rounded
|
def _dump_point(obj, decimals):
"""
Dump a GeoJSON-like Point object to WKT.
:param dict obj:
A GeoJSON-like `dict` representing a Point.
:param int decimals:
int which indicates the number of digits to display after the
decimal point when formatting coordinates.
:returns:
WKT representation of the input GeoJSON Point ``obj``.
"""
coords = obj['coordinates']
pt = 'POINT (%s)' % ' '.join(_round_and_pad(c, decimals)
for c in coords)
return pt
|
def _dump_linestring(obj, decimals):
"""
Dump a GeoJSON-like LineString object to WKT.
Input parameters and return value are the LINESTRING equivalent to
:func:`_dump_point`.
"""
coords = obj['coordinates']
ls = 'LINESTRING (%s)'
ls %= ', '.join(' '.join(_round_and_pad(c, decimals)
for c in pt) for pt in coords)
return ls
|
def _dump_polygon(obj, decimals):
"""
Dump a GeoJSON-like Polygon object to WKT.
Input parameters and return value are the POLYGON equivalent to
:func:`_dump_point`.
"""
coords = obj['coordinates']
poly = 'POLYGON (%s)'
rings = (', '.join(' '.join(_round_and_pad(c, decimals)
for c in pt) for pt in ring)
for ring in coords)
rings = ('(%s)' % r for r in rings)
poly %= ', '.join(rings)
return poly
|
def _dump_multipoint(obj, decimals):
"""
Dump a GeoJSON-like MultiPoint object to WKT.
Input parameters and return value are the MULTIPOINT equivalent to
:func:`_dump_point`.
"""
coords = obj['coordinates']
mp = 'MULTIPOINT (%s)'
points = (' '.join(_round_and_pad(c, decimals)
for c in pt) for pt in coords)
# Add parens around each point.
points = ('(%s)' % pt for pt in points)
mp %= ', '.join(points)
return mp
|
def _dump_multilinestring(obj, decimals):
"""
Dump a GeoJSON-like MultiLineString object to WKT.
Input parameters and return value are the MULTILINESTRING equivalent to
:func:`_dump_point`.
"""
coords = obj['coordinates']
mlls = 'MULTILINESTRING (%s)'
linestrs = ('(%s)' % ', '.join(' '.join(_round_and_pad(c, decimals)
for c in pt) for pt in linestr) for linestr in coords)
mlls %= ', '.join(ls for ls in linestrs)
return mlls
|
def _dump_multipolygon(obj, decimals):
"""
Dump a GeoJSON-like MultiPolygon object to WKT.
Input parameters and return value are the MULTIPOLYGON equivalent to
:func:`_dump_point`.
"""
coords = obj['coordinates']
mp = 'MULTIPOLYGON (%s)'
polys = (
# join the polygons in the multipolygon
', '.join(
# join the rings in a polygon,
# and wrap in parens
'(%s)' % ', '.join(
# join the points in a ring,
# and wrap in parens
'(%s)' % ', '.join(
# join coordinate values of a vertex
' '.join(_round_and_pad(c, decimals) for c in pt)
for pt in ring)
for ring in poly)
for poly in coords)
)
mp %= polys
return mp
|
def _dump_geometrycollection(obj, decimals):
"""
Dump a GeoJSON-like GeometryCollection object to WKT.
Input parameters and return value are the GEOMETRYCOLLECTION equivalent to
:func:`_dump_point`.
The WKT conversions for each geometry in the collection are delegated to
their respective functions.
"""
gc = 'GEOMETRYCOLLECTION (%s)'
geoms = obj['geometries']
geoms_wkt = []
for geom in geoms:
geom_type = geom['type']
geoms_wkt.append(_dumps_registry.get(geom_type)(geom, decimals))
gc %= ','.join(geoms_wkt)
return gc
|
def _load_point(tokens, string):
"""
:param tokens:
A generator of string tokens for the input WKT, begining just after the
geometry type. The geometry type is consumed before we get to here. For
example, if :func:`loads` is called with the input 'POINT(0.0 1.0)',
``tokens`` would generate the following values:
.. code-block:: python
['(', '0.0', '1.0', ')']
:param str string:
The original WKT string.
:returns:
A GeoJSON `dict` Point representation of the WKT ``string``.
"""
if not next(tokens) == '(':
raise ValueError(INVALID_WKT_FMT % string)
coords = []
try:
for t in tokens:
if t == ')':
break
else:
coords.append(float(t))
except tokenize.TokenError:
raise ValueError(INVALID_WKT_FMT % string)
return dict(type='Point', coordinates=coords)
|
def _load_linestring(tokens, string):
"""
Has similar inputs and return value to to :func:`_load_point`, except is
for handling LINESTRING geometry.
:returns:
A GeoJSON `dict` LineString representation of the WKT ``string``.
"""
if not next(tokens) == '(':
raise ValueError(INVALID_WKT_FMT % string)
# a list of lists
# each member list represents a point
coords = []
try:
pt = []
for t in tokens:
if t == ')':
coords.append(pt)
break
elif t == ',':
# it's the end of the point
coords.append(pt)
pt = []
else:
pt.append(float(t))
except tokenize.TokenError:
raise ValueError(INVALID_WKT_FMT % string)
return dict(type='LineString', coordinates=coords)
|
def _load_polygon(tokens, string):
"""
Has similar inputs and return value to to :func:`_load_point`, except is
for handling POLYGON geometry.
:returns:
A GeoJSON `dict` Polygon representation of the WKT ``string``.
"""
open_parens = next(tokens), next(tokens)
if not open_parens == ('(', '('):
raise ValueError(INVALID_WKT_FMT % string)
# coords contains a list of rings
# each ring contains a list of points
# each point is a list of 2-4 values
coords = []
ring = []
on_ring = True
try:
pt = []
for t in tokens:
if t == ')' and on_ring:
# The ring is finished
ring.append(pt)
coords.append(ring)
on_ring = False
elif t == ')' and not on_ring:
# it's the end of the polygon
break
elif t == '(':
# it's a new ring
ring = []
pt = []
on_ring = True
elif t == ',' and on_ring:
# it's the end of a point
ring.append(pt)
pt = []
elif t == ',' and not on_ring:
# there's another ring.
# do nothing
pass
else:
pt.append(float(t))
except tokenize.TokenError:
raise ValueError(INVALID_WKT_FMT % string)
return dict(type='Polygon', coordinates=coords)
|
def _load_multipoint(tokens, string):
"""
Has similar inputs and return value to to :func:`_load_point`, except is
for handling MULTIPOINT geometry.
:returns:
A GeoJSON `dict` MultiPoint representation of the WKT ``string``.
"""
open_paren = next(tokens)
if not open_paren == '(':
raise ValueError(INVALID_WKT_FMT % string)
coords = []
pt = []
paren_depth = 1
try:
for t in tokens:
if t == '(':
paren_depth += 1
elif t == ')':
paren_depth -= 1
if paren_depth == 0:
break
elif t == '':
pass
elif t == ',':
# the point is done
coords.append(pt)
pt = []
else:
pt.append(float(t))
except tokenize.TokenError:
raise ValueError(INVALID_WKT_FMT % string)
# Given the way we're parsing, we'll probably have to deal with the last
# point after the loop
if len(pt) > 0:
coords.append(pt)
return dict(type='MultiPoint', coordinates=coords)
|
def _load_multipolygon(tokens, string):
"""
Has similar inputs and return value to to :func:`_load_point`, except is
for handling MULTIPOLYGON geometry.
:returns:
A GeoJSON `dict` MultiPolygon representation of the WKT ``string``.
"""
open_paren = next(tokens)
if not open_paren == '(':
raise ValueError(INVALID_WKT_FMT % string)
polygons = []
while True:
try:
poly = _load_polygon(tokens, string)
polygons.append(poly['coordinates'])
t = next(tokens)
if t == ')':
# we're done; no more polygons.
break
except StopIteration:
# If we reach this, the WKT is not valid.
raise ValueError(INVALID_WKT_FMT % string)
return dict(type='MultiPolygon', coordinates=polygons)
|
def _load_multilinestring(tokens, string):
"""
Has similar inputs and return value to to :func:`_load_point`, except is
for handling MULTILINESTRING geometry.
:returns:
A GeoJSON `dict` MultiLineString representation of the WKT ``string``.
"""
open_paren = next(tokens)
if not open_paren == '(':
raise ValueError(INVALID_WKT_FMT % string)
linestrs = []
while True:
try:
linestr = _load_linestring(tokens, string)
linestrs.append(linestr['coordinates'])
t = next(tokens)
if t == ')':
# we're done; no more linestrings.
break
except StopIteration:
# If we reach this, the WKT is not valid.
raise ValueError(INVALID_WKT_FMT % string)
return dict(type='MultiLineString', coordinates=linestrs)
|
def _load_geometrycollection(tokens, string):
"""
Has similar inputs and return value to to :func:`_load_point`, except is
for handling GEOMETRYCOLLECTIONs.
Delegates parsing to the parsers for the individual geometry types.
:returns:
A GeoJSON `dict` GeometryCollection representation of the WKT
``string``.
"""
open_paren = next(tokens)
if not open_paren == '(':
raise ValueError(INVALID_WKT_FMT % string)
geoms = []
result = dict(type='GeometryCollection', geometries=geoms)
while True:
try:
t = next(tokens)
if t == ')':
break
elif t == ',':
# another geometry still
continue
else:
geom_type = t
load_func = _loads_registry.get(geom_type)
geom = load_func(tokens, string)
geoms.append(geom)
except StopIteration:
raise ValueError(INVALID_WKT_FMT % string)
return result
|
def _get_request_params(self, **kwargs):
"""Merge shared params and new params."""
request_params = copy.deepcopy(self._shared_request_params)
for key, value in iteritems(kwargs):
if isinstance(value, dict) and key in request_params:
# ensure we don't lose dict values like headers or cookies
request_params[key].update(value)
else:
request_params[key] = value
return request_params
|
def _sanitize_request_params(self, request_params):
"""Remove keyword arguments not used by `requests`"""
if 'verify_ssl' in request_params:
request_params['verify'] = request_params.pop('verify_ssl')
return dict((key, val) for key, val in request_params.items()
if key in self._VALID_REQUEST_ARGS)
|
def request(self, method, path, **kwargs):
"""Send a :class:`requests.Request` and demand a
:class:`requests.Response`
"""
if path:
url = '%s/%s' % (self.url.rstrip('/'), path.lstrip('/'))
else:
url = self.url
request_params = self._get_request_params(method=method,
url=url, **kwargs)
request_params = self.pre_send(request_params)
sanitized_params = self._sanitize_request_params(request_params)
start_time = time.time()
response = super(HTTPServiceClient, self).request(**sanitized_params)
# Log request and params (without passwords)
log.debug(
'%s HTTP [%s] call to "%s" %.2fms',
response.status_code, method, response.url,
(time.time() - start_time) * 1000)
auth = sanitized_params.pop('auth', None)
log.debug('HTTP request params: %s', sanitized_params)
if auth:
log.debug('Authentication via HTTP auth as "%s"', auth[0])
response.is_ok = response.status_code < 300
if not self.is_acceptable(response, request_params):
raise HTTPServiceError(response)
response = self.post_send(response, **request_params)
return response
|
def pre_send(self, request_params):
"""Override this method to modify sent request parameters"""
for adapter in itervalues(self.adapters):
adapter.max_retries = request_params.get('max_retries', 0)
return request_params
|
def is_acceptable(self, response, request_params):
"""
Override this method to create a different definition of
what kind of response is acceptable.
If `bool(the_return_value) is False` then an `HTTPServiceError`
will be raised.
For example, you might want to assert that the body must be empty,
so you could return `len(response.content) == 0`.
In the default implementation, a response is acceptable
if and only if the response code is either
less than 300 (typically 200, i.e. OK) or if it is in the
`expected_response_codes` parameter in the constructor.
"""
expected_codes = request_params.get('expected_response_codes', [])
return response.is_ok or response.status_code in expected_codes
|
def _roundSlist(slist):
""" Rounds a signed list over the last element and removes it. """
slist[-1] = 60 if slist[-1] >= 30 else 0
for i in range(len(slist)-1, 1, -1):
if slist[i] == 60:
slist[i] = 0
slist[i-1] += 1
return slist[:-1]
|
def strSlist(string):
""" Converts angle string to signed list. """
sign = '-' if string[0] == '-' else '+'
values = [abs(int(x)) for x in string.split(':')]
return _fixSlist(list(sign) + values)
|
def slistStr(slist):
""" Converts signed list to angle string. """
slist = _fixSlist(slist)
string = ':'.join(['%02d' % x for x in slist[1:]])
return slist[0] + string
|
def slistFloat(slist):
""" Converts signed list to float. """
values = [v / 60**(i) for (i,v) in enumerate(slist[1:])]
value = sum(values)
return -value if slist[0] == '-' else value
|
def floatSlist(value):
""" Converts float to signed list. """
slist = ['+', 0, 0, 0, 0]
if value < 0:
slist[0] = '-'
value = abs(value)
for i in range(1,5):
slist[i] = math.floor(value)
value = (value - slist[i]) * 60
return _roundSlist(slist)
|
def toFloat(value):
""" Converts string or signed list to float. """
if isinstance(value, str):
return strFloat(value)
elif isinstance(value, list):
return slistFloat(value)
else:
return value
|
def inDignities(self, idA, idB):
""" Returns the dignities of A which belong to B. """
objA = self.chart.get(idA)
info = essential.getInfo(objA.sign, objA.signlon)
# Should we ignore exile and fall?
return [dign for (dign, ID) in info.items() if ID == idB]
|
def receives(self, idA, idB):
""" Returns the dignities where A receives B.
A receives B when (1) B aspects A and (2) B is in
dignities of A.
"""
objA = self.chart.get(idA)
objB = self.chart.get(idB)
asp = aspects.isAspecting(objB, objA, const.MAJOR_ASPECTS)
return self.inDignities(idB, idA) if asp else []
|
def mutualReceptions(self, idA, idB):
""" Returns all pairs of dignities in mutual reception. """
AB = self.receives(idA, idB)
BA = self.receives(idB, idA)
# Returns a product of both lists
return [(a,b) for a in AB for b in BA]
|
def reMutualReceptions(self, idA, idB):
""" Returns ruler and exaltation mutual receptions. """
mr = self.mutualReceptions(idA, idB)
filter_ = ['ruler', 'exalt']
# Each pair of dignities must be 'ruler' or 'exalt'
return [(a,b) for (a,b) in mr if (a in filter_ and b in filter_)]
|
def validAspects(self, ID, aspList):
""" Returns a list with the aspects an object
makes with the other six planets, considering a
list of possible aspects.
"""
obj = self.chart.getObject(ID)
res = []
for otherID in const.LIST_SEVEN_PLANETS:
if ID == otherID:
continue
otherObj = self.chart.getObject(otherID)
aspType = aspects.aspectType(obj, otherObj, aspList)
if aspType != const.NO_ASPECT:
res.append({
'id': otherID,
'asp': aspType,
})
return res
|
def aspectsByCat(self, ID, aspList):
""" Returns the aspects an object makes with the
other six planets, separated by category (applicative,
separative, exact).
Aspects must be within orb of the object.
"""
res = {
const.APPLICATIVE: [],
const.SEPARATIVE: [],
const.EXACT: [],
const.NO_MOVEMENT: []
}
objA = self.chart.getObject(ID)
valid = self.validAspects(ID, aspList)
for elem in valid:
objB = self.chart.getObject(elem['id'])
asp = aspects.getAspect(objA, objB, aspList)
role = asp.getRole(objA.id)
if role['inOrb']:
movement = role['movement']
res[movement].append({
'id': objB.id,
'asp': asp.type,
'orb': asp.orb
})
return res
|
def immediateAspects(self, ID, aspList):
""" Returns the last separation and next application
considering a list of possible aspects.
"""
asps = self.aspectsByCat(ID, aspList)
applications = asps[const.APPLICATIVE]
separations = asps[const.SEPARATIVE]
exact = asps[const.EXACT]
# Get applications and separations sorted by orb
applications = applications + [val for val in exact if val['orb'] >= 0]
applications = sorted(applications, key=lambda var: var['orb'])
separations = sorted(separations, key=lambda var: var['orb'])
return (
separations[0] if separations else None,
applications[0] if applications else None
)
|
def isVOC(self, ID):
""" Returns if a planet is Void of Course.
A planet is not VOC if has any exact or applicative aspects
ignoring the sign status (associate or dissociate).
"""
asps = self.aspectsByCat(ID, const.MAJOR_ASPECTS)
applications = asps[const.APPLICATIVE]
exacts = asps[const.EXACT]
return len(applications) == 0 and len(exacts) == 0
|
def singleFactor(factors, chart, factor, obj, aspect=None):
"""" Single factor for the table. """
objID = obj if type(obj) == str else obj.id
res = {
'factor': factor,
'objID': objID,
'aspect': aspect
}
# For signs (obj as string) return sign element
if type(obj) == str:
res['element'] = props.sign.element[obj]
# For Sun return sign and sunseason element
elif objID == const.SUN:
sunseason = props.sign.sunseason[obj.sign]
res['sign'] = obj.sign
res['sunseason'] = sunseason
res['element'] = props.base.sunseasonElement[sunseason]
# For Moon return phase and phase element
elif objID == const.MOON:
phase = chart.getMoonPhase()
res['phase'] = phase
res['element'] = props.base.moonphaseElement[phase]
# For regular planets return element or sign/sign element
# if there's an aspect involved
elif objID in const.LIST_SEVEN_PLANETS:
if aspect:
res['sign'] = obj.sign
res['element'] = props.sign.element[obj.sign]
else:
res['element'] = obj.element()
try:
# If there's element, insert into list
res['element']
factors.append(res)
except KeyError:
pass
return res
|
def modifierFactor(chart, factor, factorObj, otherObj, aspList):
""" Computes a factor for a modifier. """
asp = aspects.aspectType(factorObj, otherObj, aspList)
if asp != const.NO_ASPECT:
return {
'factor': factor,
'aspect': asp,
'objID': otherObj.id,
'element': otherObj.element()
}
return None
|
def getFactors(chart):
""" Returns the factors for the temperament. """
factors = []
# Asc sign
asc = chart.getAngle(const.ASC)
singleFactor(factors, chart, ASC_SIGN, asc.sign)
# Asc ruler
ascRulerID = essential.ruler(asc.sign)
ascRuler = chart.getObject(ascRulerID)
singleFactor(factors, chart, ASC_RULER, ascRuler)
singleFactor(factors, chart, ASC_RULER_SIGN, ascRuler.sign)
# Planets in House 1
house1 = chart.getHouse(const.HOUSE1)
planetsHouse1 = chart.objects.getObjectsInHouse(house1)
for obj in planetsHouse1:
singleFactor(factors, chart, HOUSE1_PLANETS_IN, obj)
# Planets conjunct Asc
planetsConjAsc = chart.objects.getObjectsAspecting(asc, [0])
for obj in planetsConjAsc:
# Ignore planets already in house 1
if obj not in planetsHouse1:
singleFactor(factors, chart, ASC_PLANETS_CONJ, obj)
# Planets aspecting Asc cusp
aspList = [60, 90, 120, 180]
planetsAspAsc = chart.objects.getObjectsAspecting(asc, aspList)
for obj in planetsAspAsc:
aspect = aspects.aspectType(obj, asc, aspList)
singleFactor(factors, chart, ASC_PLANETS_ASP, obj, aspect)
# Moon sign and phase
moon = chart.getObject(const.MOON)
singleFactor(factors, chart, MOON_SIGN, moon.sign)
singleFactor(factors, chart, MOON_PHASE, moon)
# Moon dispositor
moonRulerID = essential.ruler(moon.sign)
moonRuler = chart.getObject(moonRulerID)
moonFactor = singleFactor(factors, chart, MOON_DISPOSITOR_SIGN, moonRuler.sign)
moonFactor['planetID'] = moonRulerID # Append moon dispositor ID
# Planets conjunct Moon
planetsConjMoon = chart.objects.getObjectsAspecting(moon, [0])
for obj in planetsConjMoon:
singleFactor(factors, chart, MOON_PLANETS_CONJ, obj)
# Planets aspecting Moon
aspList = [60, 90, 120, 180]
planetsAspMoon = chart.objects.getObjectsAspecting(moon, aspList)
for obj in planetsAspMoon:
aspect = aspects.aspectType(obj, moon, aspList)
singleFactor(factors, chart, MOON_PLANETS_ASP, obj, aspect)
# Sun season
sun = chart.getObject(const.SUN)
singleFactor(factors, chart, SUN_SEASON, sun)
return factors
|
def getModifiers(chart):
""" Returns the factors of the temperament modifiers. """
modifiers = []
# Factors which can be affected
asc = chart.getAngle(const.ASC)
ascRulerID = essential.ruler(asc.sign)
ascRuler = chart.getObject(ascRulerID)
moon = chart.getObject(const.MOON)
factors = [
[MOD_ASC, asc],
[MOD_ASC_RULER, ascRuler],
[MOD_MOON, moon]
]
# Factors of affliction
mars = chart.getObject(const.MARS)
saturn = chart.getObject(const.SATURN)
sun = chart.getObject(const.SUN)
affect = [
[mars, [0, 90, 180]],
[saturn, [0, 90, 180]],
[sun, [0]]
]
# Do calculations of afflictions
for affectingObj, affectingAsps in affect:
for factor, affectedObj in factors:
modf = modifierFactor(chart,
factor,
affectedObj,
affectingObj,
affectingAsps)
if modf:
modifiers.append(modf)
return modifiers
|
def scores(factors):
""" Computes the score of temperaments
and elements.
"""
temperaments = {
const.CHOLERIC: 0,
const.MELANCHOLIC: 0,
const.SANGUINE: 0,
const.PHLEGMATIC: 0
}
qualities = {
const.HOT: 0,
const.COLD: 0,
const.DRY: 0,
const.HUMID: 0
}
for factor in factors:
element = factor['element']
# Score temperament
temperament = props.base.elementTemperament[element]
temperaments[temperament] += 1
# Score qualities
tqualities = props.base.temperamentQuality[temperament]
qualities[tqualities[0]] += 1
qualities[tqualities[1]] += 1
return {
'temperaments': temperaments,
'qualities': qualities
}
|
def getObject(ID, date, pos):
""" Returns an ephemeris object. """
obj = eph.getObject(ID, date.jd, pos.lat, pos.lon)
return Object.fromDict(obj)
|
def getObjectList(IDs, date, pos):
""" Returns a list of objects. """
objList = [getObject(ID, date, pos) for ID in IDs]
return ObjectList(objList)
|
def getHouses(date, pos, hsys):
""" Returns the lists of houses and angles.
Since houses and angles are computed at the
same time, this function should be fast.
"""
houses, angles = eph.getHouses(date.jd, pos.lat, pos.lon, hsys)
hList = [House.fromDict(house) for house in houses]
aList = [GenericObject.fromDict(angle) for angle in angles]
return (HouseList(hList), GenericList(aList))
|
def getFixedStar(ID, date):
""" Returns a fixed star from the ephemeris. """
star = eph.getFixedStar(ID, date.jd)
return FixedStar.fromDict(star)
|
def getFixedStarList(IDs, date):
""" Returns a list of fixed stars. """
starList = [getFixedStar(ID, date) for ID in IDs]
return FixedStarList(starList)
|
def nextSolarReturn(date, lon):
""" Returns the next date when sun is at longitude 'lon'. """
jd = eph.nextSolarReturn(date.jd, lon)
return Datetime.fromJD(jd, date.utcoffset)
|
def prevSolarReturn(date, lon):
""" Returns the previous date when sun is at longitude 'lon'. """
jd = eph.prevSolarReturn(date.jd, lon)
return Datetime.fromJD(jd, date.utcoffset)
|
def nextSunrise(date, pos):
""" Returns the date of the next sunrise. """
jd = eph.nextSunrise(date.jd, pos.lat, pos.lon)
return Datetime.fromJD(jd, date.utcoffset)
|
def nextStation(ID, date):
""" Returns the aproximate date of the next station. """
jd = eph.nextStation(ID, date.jd)
return Datetime.fromJD(jd, date.utcoffset)
|
def prevSolarEclipse(date):
""" Returns the Datetime of the maximum phase of the
previous global solar eclipse.
"""
eclipse = swe.solarEclipseGlobal(date.jd, backward=True)
return Datetime.fromJD(eclipse['maximum'], date.utcoffset)
|
def nextSolarEclipse(date):
""" Returns the Datetime of the maximum phase of the
next global solar eclipse.
"""
eclipse = swe.solarEclipseGlobal(date.jd, backward=False)
return Datetime.fromJD(eclipse['maximum'], date.utcoffset)
|
def prevLunarEclipse(date):
""" Returns the Datetime of the maximum phase of the
previous global lunar eclipse.
"""
eclipse = swe.lunarEclipseGlobal(date.jd, backward=True)
return Datetime.fromJD(eclipse['maximum'], date.utcoffset)
|
def nextLunarEclipse(date):
""" Returns the Datetime of the maximum phase of the
next global lunar eclipse.
"""
eclipse = swe.lunarEclipseGlobal(date.jd, backward=False)
return Datetime.fromJD(eclipse['maximum'], date.utcoffset)
|
def plot(hdiff, title):
""" Plots the tropical solar length
by year.
"""
import matplotlib.pyplot as plt
years = [elem[0] for elem in hdiff]
diffs = [elem[1] for elem in hdiff]
plt.plot(years, diffs)
plt.ylabel('Distance in minutes')
plt.xlabel('Year')
plt.title(title)
plt.axhline(y=0, c='red')
plt.show()
|
def ascdiff(decl, lat):
""" Returns the Ascensional Difference of a point. """
delta = math.radians(decl)
phi = math.radians(lat)
ad = math.asin(math.tan(delta) * math.tan(phi))
return math.degrees(ad)
|
def dnarcs(decl, lat):
""" Returns the diurnal and nocturnal arcs of a point. """
dArc = 180 + 2 * ascdiff(decl, lat)
nArc = 360 - dArc
return (dArc, nArc)
|
def isAboveHorizon(ra, decl, mcRA, lat):
""" Returns if an object's 'ra' and 'decl'
is above the horizon at a specific latitude,
given the MC's right ascension.
"""
# This function checks if the equatorial distance from
# the object to the MC is within its diurnal semi-arc.
dArc, _ = dnarcs(decl, lat)
dist = abs(angle.closestdistance(mcRA, ra))
return dist <= dArc/2.0 + 0.0003
|
def eqCoords(lon, lat):
""" Converts from ecliptical to equatorial coordinates.
This algorithm is described in book 'Primary Directions',
pp. 147-150.
"""
# Convert to radians
_lambda = math.radians(lon)
_beta = math.radians(lat)
_epson = math.radians(23.44) # The earth's inclination
# Declination in radians
decl = math.asin(math.sin(_epson) * math.sin(_lambda) * math.cos(_beta) + \
math.cos(_epson) * math.sin(_beta))
# Equatorial Distance in radians
ED = math.acos(math.cos(_lambda) * math.cos(_beta) / math.cos(decl))
# RA in radians
ra = ED if lon < 180 else math.radians(360) - ED
# Correctness of RA if longitude is close to 0º or 180º in a radius of 5º
if (abs(angle.closestdistance(lon, 0)) < 5 or
abs(angle.closestdistance(lon, 180)) < 5):
a = math.sin(ra) * math.cos(decl)
b = math.cos(_epson) * math.sin(_lambda) * math.cos(_beta) - \
math.sin(_epson) * math.sin(_beta)
if (math.fabs(a-b) > 0.0003):
ra = math.radians(360) - ra
return (math.degrees(ra), math.degrees(decl))
|
def sunRelation(obj, sun):
""" Returns an object's relation with the sun. """
if obj.id == const.SUN:
return None
dist = abs(angle.closestdistance(sun.lon, obj.lon))
if dist < 0.2833: return CAZIMI
elif dist < 8.0: return COMBUST
elif dist < 16.0: return UNDER_SUN
else:
return None
|
def light(obj, sun):
""" Returns if an object is augmenting or diminishing light. """
dist = angle.distance(sun.lon, obj.lon)
faster = sun if sun.lonspeed > obj.lonspeed else obj
if faster == sun:
return LIGHT_DIMINISHING if dist < 180 else LIGHT_AUGMENTING
else:
return LIGHT_AUGMENTING if dist < 180 else LIGHT_DIMINISHING
|
def orientality(obj, sun):
""" Returns if an object is oriental or
occidental to the sun.
"""
dist = angle.distance(sun.lon, obj.lon)
return OCCIDENTAL if dist < 180 else ORIENTAL
|
def haiz(obj, chart):
""" Returns if an object is in Haiz. """
objGender = obj.gender()
objFaction = obj.faction()
if obj.id == const.MERCURY:
# Gender and faction of mercury depends on orientality
sun = chart.getObject(const.SUN)
orientalityM = orientality(obj, sun)
if orientalityM == ORIENTAL:
objGender = const.MASCULINE
objFaction = const.DIURNAL
else:
objGender = const.FEMININE
objFaction = const.NOCTURNAL
# Object gender match sign gender?
signGender = props.sign.gender[obj.sign]
genderConformity = (objGender == signGender)
# Match faction
factionConformity = False
diurnalChart = chart.isDiurnal()
if obj.id == const.SUN and not diurnalChart:
# Sun is in conformity only when above horizon
factionConformity = False
else:
# Get list of houses in the chart's diurnal faction
if diurnalChart:
diurnalFaction = props.house.aboveHorizon
nocturnalFaction = props.house.belowHorizon
else:
diurnalFaction = props.house.belowHorizon
nocturnalFaction = props.house.aboveHorizon
# Get the object's house and match factions
objHouse = chart.houses.getObjectHouse(obj)
if (objFaction == const.DIURNAL and objHouse.id in diurnalFaction or
objFaction == const.NOCTURNAL and objHouse.id in nocturnalFaction):
factionConformity = True
# Match things
if (genderConformity and factionConformity):
return HAIZ
elif (not genderConformity and not factionConformity):
return CHAIZ
else:
return None
|
def house(self):
""" Returns the object's house. """
house = self.chart.houses.getObjectHouse(self.obj)
return house
|
def sunRelation(self):
""" Returns the relation of the object with the sun. """
sun = self.chart.getObject(const.SUN)
return sunRelation(self.obj, sun)
|
def light(self):
""" Returns if object is augmenting or diminishing its
light.
"""
sun = self.chart.getObject(const.SUN)
return light(self.obj, sun)
|
def orientality(self):
""" Returns the orientality of the object. """
sun = self.chart.getObject(const.SUN)
return orientality(self.obj, sun)
|
def inHouseJoy(self):
""" Returns if the object is in its house of joy. """
house = self.house()
return props.object.houseJoy[self.obj.id] == house.id
|
def inSignJoy(self):
""" Returns if the object is in its sign of joy. """
return props.object.signJoy[self.obj.id] == self.obj.sign
|
def reMutualReceptions(self):
""" Returns all mutual receptions with the object
and other planets, indexed by planet ID.
It only includes ruler and exaltation receptions.
"""
planets = copy(const.LIST_SEVEN_PLANETS)
planets.remove(self.obj.id)
mrs = {}
for ID in planets:
mr = self.dyn.reMutualReceptions(self.obj.id, ID)
if mr:
mrs[ID] = mr
return mrs
|
def eqMutualReceptions(self):
""" Returns a list with mutual receptions with the
object and other planets, when the reception is the
same for both (both ruler or both exaltation).
It basically return a list with every ruler-ruler and
exalt-exalt mutual receptions
"""
mrs = self.reMutualReceptions()
res = []
for ID, receptions in mrs.items():
for pair in receptions:
if pair[0] == pair[1]:
res.append(pair[0])
return res
|
def __aspectLists(self, IDs, aspList):
""" Returns a list with the aspects that the object
makes to the objects in IDs. It considers only
conjunctions and other exact/applicative aspects
if in aspList.
"""
res = []
for otherID in IDs:
# Ignore same
if otherID == self.obj.id:
continue
# Get aspects to the other object
otherObj = self.chart.getObject(otherID)
asp = aspects.getAspect(self.obj, otherObj, aspList)
if asp.type == const.NO_ASPECT:
continue
elif asp.type == const.CONJUNCTION:
res.append(asp.type)
else:
# Only exact or applicative aspects
movement = asp.movement()
if movement in [const.EXACT, const.APPLICATIVE]:
res.append(asp.type)
return res
|
def aspectBenefics(self):
""" Returns a list with the good aspects the object
makes to the benefics.
"""
benefics = [const.VENUS, const.JUPITER]
return self.__aspectLists(benefics, aspList=[0, 60, 120])
|
def aspectMalefics(self):
""" Returns a list with the bad aspects the object
makes to the malefics.
"""
malefics = [const.MARS, const.SATURN]
return self.__aspectLists(malefics, aspList=[0, 90, 180])
|
def __sepApp(self, IDs, aspList):
""" Returns true if the object last and next movement are
separations and applications to objects in list IDs.
It only considers aspects in aspList.
This function is static since it does not test if the next
application will be indeed perfected. It considers only
a snapshot of the chart and not its astronomical movement.
"""
sep, app = self.dyn.immediateAspects(self.obj.id, aspList)
if sep is None or app is None:
return False
else:
sepCondition = sep['id'] in IDs
appCondition = app['id'] in IDs
return sepCondition == appCondition == True
|
def isAuxilied(self):
""" Returns if the object is separating and applying to
a benefic considering good aspects.
"""
benefics = [const.VENUS, const.JUPITER]
return self.__sepApp(benefics, aspList=[0, 60, 120])
|
def isSurrounded(self):
""" Returns if the object is separating and applying to
a malefic considering bad aspects.
"""
malefics = [const.MARS, const.SATURN]
return self.__sepApp(malefics, aspList=[0, 90, 180])
|
def isConjNorthNode(self):
""" Returns if object is conjunct north node. """
node = self.chart.getObject(const.NORTH_NODE)
return aspects.hasAspect(self.obj, node, aspList=[0])
|
def isConjSouthNode(self):
""" Returns if object is conjunct south node. """
node = self.chart.getObject(const.SOUTH_NODE)
return aspects.hasAspect(self.obj, node, aspList=[0])
|
def isFeral(self):
""" Returns true if the object does not have any
aspects.
"""
planets = copy(const.LIST_SEVEN_PLANETS)
planets.remove(self.obj.id)
for otherID in planets:
otherObj = self.chart.getObject(otherID)
if aspects.hasAspect(self.obj, otherObj, const.MAJOR_ASPECTS):
return False
return True
|
def getScoreProperties(self):
""" Returns the accidental dignity score of the object
as dict.
"""
obj = self.obj
score = {}
# Peregrine
isPeregrine = essential.isPeregrine(obj.id, obj.sign, obj.signlon)
score['peregrine'] = -5 if isPeregrine else 0
# Ruler-Ruler and Exalt-Exalt mutual receptions
mr = self.eqMutualReceptions()
score['mr_ruler'] = +5 if 'ruler' in mr else 0
score['mr_exalt'] = +4 if 'exalt' in mr else 0
# House scores
score['house'] = self.houseScore()
# Joys
score['joy_sign'] = +3 if self.inSignJoy() else 0
score['joy_house'] = +2 if self.inHouseJoy() else 0
# Relations with sun
score['cazimi'] = +5 if self.isCazimi() else 0
score['combust'] = -6 if self.isCombust() else 0
score['under_sun'] = -4 if self.isUnderSun() else 0
score['no_under_sun'] = 0
if obj.id != const.SUN and not self.sunRelation():
score['no_under_sun'] = +5
# Light
score['light'] = 0
if obj.id != const.SUN:
score['light'] = +1 if self.isAugmentingLight() else -1
# Orientality
score['orientality'] = 0
if obj.id in [const.SATURN, const.JUPITER, const.MARS]:
score['orientality'] = +2 if self.isOriental() else -2
elif obj.id in [const.VENUS, const.MERCURY, const.MOON]:
score['orientality'] = -2 if self.isOriental() else +2
# Moon nodes
score['north_node'] = -3 if self.isConjNorthNode() else 0
score['south_node'] = -5 if self.isConjSouthNode() else 0
# Direction and speed
score['direction'] = 0
if obj.id not in [const.SUN, const.MOON]:
score['direction'] = +4 if obj.isDirect() else -5
score['speed'] = +2 if obj.isFast() else -2
# Aspects to benefics
aspBen = self.aspectBenefics()
score['benefic_asp0'] = +5 if const.CONJUNCTION in aspBen else 0
score['benefic_asp120'] = +4 if const.TRINE in aspBen else 0
score['benefic_asp60'] = +3 if const.SEXTILE in aspBen else 0
# Aspects to malefics
aspMal = self.aspectMalefics()
score['malefic_asp0'] = -5 if const.CONJUNCTION in aspMal else 0
score['malefic_asp180'] = -4 if const.OPPOSITION in aspMal else 0
score['malefic_asp90'] = -3 if const.SQUARE in aspMal else 0
# Auxily and Surround
score['auxilied'] = +5 if self.isAuxilied() else 0
score['surround'] = -5 if self.isSurrounded() else 0
# Voc and Feral
score['feral'] = -3 if self.isFeral() else 0
score['void'] = -2 if (self.isVoc() and score['feral'] == 0) else 0
# Haiz
haiz = self.haiz()
score['haiz'] = 0
if haiz == HAIZ:
score['haiz'] = +3
elif haiz == CHAIZ:
score['haiz'] = -2
# Moon via combusta
score['viacombusta'] = 0
if obj.id == const.MOON and viaCombusta(obj):
score['viacombusta'] = -2
return score
|
def getActiveProperties(self):
""" Returns the non-zero accidental dignities. """
score = self.getScoreProperties()
return {key: value for (key, value) in score.items()
if value != 0}
|
def score(self):
""" Returns the sum of the accidental dignities
score.
"""
if not self.scoreProperties:
self.scoreProperties = self.getScoreProperties()
return sum(self.scoreProperties.values())
|
def fromDict(cls, _dict):
""" Builds instance from dictionary of properties. """
obj = cls()
obj.__dict__.update(_dict)
return obj
|
def eqCoords(self, zerolat=False):
""" Returns the Equatorial Coordinates of this object.
Receives a boolean parameter to consider a zero latitude.
"""
lat = 0.0 if zerolat else self.lat
return utils.eqCoords(self.lon, lat)
|
def relocate(self, lon):
""" Relocates this object to a new longitude. """
self.lon = angle.norm(lon)
self.signlon = self.lon % 30
self.sign = const.LIST_SIGNS[int(self.lon / 30.0)]
|
def antiscia(self):
""" Returns antiscia object. """
obj = self.copy()
obj.type = const.OBJ_GENERIC
obj.relocate(360 - obj.lon + 180)
return obj
|
def movement(self):
""" Returns if this object is direct, retrograde
or stationary.
"""
if abs(self.lonspeed) < 0.0003:
return const.STATIONARY
elif self.lonspeed > 0:
return const.DIRECT
else:
return const.RETROGRADE
|
def inHouse(self, lon):
""" Returns if a longitude belongs to this house. """
dist = angle.distance(self.lon + House._OFFSET, lon)
return dist < self.size
|
def orb(self):
""" Returns the orb of this fixed star. """
for (mag, orb) in FixedStar._ORBS:
if self.mag < mag:
return orb
return 0.5
|
def aspects(self, obj):
""" Returns true if this star aspects another object.
Fixed stars only aspect by conjunctions.
"""
dist = angle.closestdistance(self.lon, obj.lon)
return abs(dist) < self.orb()
|
def getObjectsInHouse(self, house):
""" Returns a list with all objects in a house. """
res = [obj for obj in self if house.hasObject(obj)]
return ObjectList(res)
|
def getObjectsAspecting(self, point, aspList):
""" Returns a list of objects aspecting a point
considering a list of possible aspects.
"""
res = []
for obj in self:
if obj.isPlanet() and aspects.isAspecting(obj, point, aspList):
res.append(obj)
return ObjectList(res)
|
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