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def getobject_use_prevfield(idf, idfobject, fieldname):
"""field=object_name, prev_field=object_type. Return the object"""
if not fieldname.endswith("Name"):
return None
# test if prevfieldname ends with "Object_Type"
fdnames = idfobject.fieldnames
ifieldname = fdnames.index(fieldname)
p... | field=object_name, prev_field=object_type. Return the object | entailment |
def getidfkeyswithnodes():
"""return a list of keys of idfobjects that hve 'None Name' fields"""
idf = IDF(StringIO(""))
keys = idfobjectkeys(idf)
keysfieldnames = ((key, idf.newidfobject(key.upper()).fieldnames)
for key in keys)
keysnodefdnames = ((key, (name for name in fdnames
... | return a list of keys of idfobjects that hve 'None Name' fields | entailment |
def getobjectswithnode(idf, nodekeys, nodename):
"""return all objects that mention this node name"""
keys = nodekeys
# TODO getidfkeyswithnodes needs to be done only once. take out of here
listofidfobjects = (idf.idfobjects[key.upper()]
for key in keys if idf.idfobjects[key.upper()])
... | return all objects that mention this node name | entailment |
def name2idfobject(idf, groupnamess=None, objkeys=None, **kwargs):
"""return the object, if the Name or some other field is known.
send filed in **kwargs as Name='a name', Roughness='smooth'
Returns the first find (field search is unordered)
objkeys -> if objkeys=['ZONE', 'Material'], search only those
... | return the object, if the Name or some other field is known.
send filed in **kwargs as Name='a name', Roughness='smooth'
Returns the first find (field search is unordered)
objkeys -> if objkeys=['ZONE', 'Material'], search only those
groupnames -> not yet coded | entailment |
def getidfobjectlist(idf):
"""return a list of all idfobjects in idf"""
idfobjects = idf.idfobjects
# idfobjlst = [idfobjects[key] for key in idfobjects if idfobjects[key]]
idfobjlst = [idfobjects[key] for key in idf.model.dtls if idfobjects[key]]
# `for key in idf.model.dtls` maintains the or... | return a list of all idfobjects in idf | entailment |
def copyidfintoidf(toidf, fromidf):
"""copy fromidf completely into toidf"""
idfobjlst = getidfobjectlist(fromidf)
for idfobj in idfobjlst:
toidf.copyidfobject(idfobj) | copy fromidf completely into toidf | entailment |
def idfdiffs(idf1, idf2):
"""return the diffs between the two idfs"""
thediffs = {}
keys = idf1.model.dtls # undocumented variable
for akey in keys:
idfobjs1 = idf1.idfobjects[akey]
idfobjs2 = idf2.idfobjects[akey]
names = set([getobjname(i) for i in idfobjs1] +
... | return the diffs between the two idfs | entailment |
def autosize_fieldname(idfobject):
"""return autsizeable field names in idfobject"""
# undocumented stuff in this code
return [fname for (fname, dct) in zip(idfobject.objls,
idfobject['objidd'])
if 'autosizable' in dct] | return autsizeable field names in idfobject | entailment |
def idd2group(fhandle):
"""wrapper for iddtxt2groups"""
try:
txt = fhandle.read()
return iddtxt2groups(txt)
except AttributeError as e:
txt = open(fhandle, 'r').read()
return iddtxt2groups(txt) | wrapper for iddtxt2groups | entailment |
def idd2grouplist(fhandle):
"""wrapper for iddtxt2grouplist"""
try:
txt = fhandle.read()
return iddtxt2grouplist(txt)
except AttributeError as e:
txt = open(fhandle, 'r').read()
return iddtxt2grouplist(txt) | wrapper for iddtxt2grouplist | entailment |
def iddtxt2groups(txt):
"""extract the groups from the idd file"""
try:
txt = txt.decode('ISO-8859-2')
except AttributeError as e:
pass # for python 3
txt = nocomment(txt, '!')
txt = txt.replace("\\group", "!-group") # retains group in next line
txt = nocomment(txt, '\\') # remov... | extract the groups from the idd file | entailment |
def iddtxt2grouplist(txt):
"""return a list of group names
the list in the same order as the idf objects in idd file
"""
def makenone(astr):
if astr == 'None':
return None
else:
return astr
txt = nocomment(txt, '!')
txt = txt.replace("\\group", "!-group")... | return a list of group names
the list in the same order as the idf objects in idd file | entailment |
def group2commlst(commlst, glist):
"""add group info to commlst"""
for (gname, objname), commitem in zip(glist, commlst):
newitem1 = "group %s" % (gname, )
newitem2 = "idfobj %s" % (objname, )
commitem[0].insert(0, newitem1)
commitem[0].insert(1, newitem2)
return commlst | add group info to commlst | entailment |
def group2commdct(commdct, glist):
"""add group info tocomdct"""
for (gname, objname), commitem in zip(glist, commdct):
commitem[0]['group'] = gname
commitem[0]['idfobj'] = objname
return commdct | add group info tocomdct | entailment |
def commdct2grouplist(gcommdct):
"""extract embedded group data from commdct.
return gdict -> {g1:[obj1, obj2, obj3], g2:[obj4, ..]}"""
gdict = {}
for objidd in gcommdct:
group = objidd[0]['group']
objname = objidd[0]['idfobj']
if group in gdict:
gdict[group].append(o... | extract embedded group data from commdct.
return gdict -> {g1:[obj1, obj2, obj3], g2:[obj4, ..]} | entailment |
def flattencopy(lst):
"""flatten and return a copy of the list
indefficient on large lists"""
# modified from
# http://stackoverflow.com/questions/2158395/flatten-an-irregular-list-of-lists-in-python
thelist = copy.deepcopy(lst)
list_is_nested = True
while list_is_nested: # outer loop
... | flatten and return a copy of the list
indefficient on large lists | entailment |
def makepipecomponent(idf, pname):
"""make a pipe component
generate inlet outlet names"""
apipe = idf.newidfobject("Pipe:Adiabatic".upper(), Name=pname)
apipe.Inlet_Node_Name = "%s_inlet" % (pname,)
apipe.Outlet_Node_Name = "%s_outlet" % (pname,)
return apipe | make a pipe component
generate inlet outlet names | entailment |
def makeductcomponent(idf, dname):
"""make a duct component
generate inlet outlet names"""
aduct = idf.newidfobject("duct".upper(), Name=dname)
aduct.Inlet_Node_Name = "%s_inlet" % (dname,)
aduct.Outlet_Node_Name = "%s_outlet" % (dname,)
return aduct | make a duct component
generate inlet outlet names | entailment |
def makepipebranch(idf, bname):
"""make a branch with a pipe
use standard inlet outlet names"""
# make the pipe component first
pname = "%s_pipe" % (bname,)
apipe = makepipecomponent(idf, pname)
# now make the branch with the pipe in it
abranch = idf.newidfobject("BRANCH", Name=bname)
ab... | make a branch with a pipe
use standard inlet outlet names | entailment |
def makeductbranch(idf, bname):
"""make a branch with a duct
use standard inlet outlet names"""
# make the duct component first
pname = "%s_duct" % (bname,)
aduct = makeductcomponent(idf, pname)
# now make the branch with the duct in it
abranch = idf.newidfobject("BRANCH", Name=bname)
ab... | make a branch with a duct
use standard inlet outlet names | entailment |
def getbranchcomponents(idf, branch, utest=False):
"""get the components of the branch"""
fobjtype = 'Component_%s_Object_Type'
fobjname = 'Component_%s_Name'
complist = []
for i in range(1, 100000):
try:
objtype = branch[fobjtype % (i,)]
if objtype.strip() == '':
... | get the components of the branch | entailment |
def renamenodes(idf, fieldtype):
"""rename all the changed nodes"""
renameds = []
for key in idf.model.dtls:
for idfobject in idf.idfobjects[key]:
for fieldvalue in idfobject.obj:
if type(fieldvalue) is list:
if fieldvalue not in renameds:
... | rename all the changed nodes | entailment |
def getfieldnamesendswith(idfobject, endswith):
"""get the filednames for the idfobject based on endswith"""
objls = idfobject.objls
tmp = [name for name in objls if name.endswith(endswith)]
if tmp == []:
pass
return [name for name in objls if name.endswith(endswith)] | get the filednames for the idfobject based on endswith | entailment |
def getnodefieldname(idfobject, endswith, fluid=None, startswith=None):
"""return the field name of the node
fluid is only needed if there are air and water nodes
fluid is Air or Water or ''.
if the fluid is Steam, use Water"""
if startswith is None:
startswith = ''
if fluid is None:
... | return the field name of the node
fluid is only needed if there are air and water nodes
fluid is Air or Water or ''.
if the fluid is Steam, use Water | entailment |
def connectcomponents(idf, components, fluid=None):
"""rename nodes so that the components get connected
fluid is only needed if there are air and water nodes
fluid is Air or Water or ''.
if the fluid is Steam, use Water"""
if fluid is None:
fluid = ''
if len(components) == 1:
th... | rename nodes so that the components get connected
fluid is only needed if there are air and water nodes
fluid is Air or Water or ''.
if the fluid is Steam, use Water | entailment |
def initinletoutlet(idf, idfobject, thisnode, force=False):
"""initialze values for all the inlet outlet nodes for the object.
if force == False, it willl init only if field = '' """
def blankfield(fieldvalue):
"""test for blank field"""
try:
if fieldvalue.strip() == '':
... | initialze values for all the inlet outlet nodes for the object.
if force == False, it willl init only if field = '' | entailment |
def componentsintobranch(idf, branch, listofcomponents, fluid=None):
"""insert a list of components into a branch
fluid is only needed if there are air and water nodes in same object
fluid is Air or Water or ''.
if the fluid is Steam, use Water"""
if fluid is None:
fluid = ''
componentli... | insert a list of components into a branch
fluid is only needed if there are air and water nodes in same object
fluid is Air or Water or ''.
if the fluid is Steam, use Water | entailment |
def makeairloop(idf, loopname, sloop, dloop, testing=None):
"""make an airloop"""
# -------- testing ---------
testn = 0
# -------- testing ---------
newairloop = idf.newidfobject("AirLoopHVAC".upper(), Name=loopname)
# -------- testing ---------
testn = doingtesting(testing, testn, newairlo... | make an airloop | entailment |
def makeplantloop(idf, loopname, sloop, dloop, testing=None):
"""make plant loop with pip components"""
# -------- <testing ---------
testn = 0
# -------- testing> ---------
newplantloop = idf.newidfobject("PLANTLOOP", Name=loopname)
# -------- <testing ---------
testn = doingtesting(testing... | make plant loop with pip components | entailment |
def makecondenserloop(idf, loopname, sloop, dloop, testing=None):
"""make condenser loop with pipe components"""
# -------- <testing ---------
testn = 0
# -------- testing> ---------
newcondenserloop = idf.newidfobject("CondenserLoop".upper(), Name=loopname)
# -------- <testing ---------
tes... | make condenser loop with pipe components | entailment |
def _clean_listofcomponents(listofcomponents):
"""force it to be a list of tuples"""
def totuple(item):
"""return a tuple"""
if isinstance(item, (tuple, list)):
return item
else:
return (item, None)
return [totuple(item) for item in listofcomponents] | force it to be a list of tuples | entailment |
def _clean_listofcomponents_tuples(listofcomponents_tuples):
"""force 3 items in the tuple"""
def to3tuple(item):
"""return a 3 item tuple"""
if len(item) == 3:
return item
else:
return (item[0], item[1], None)
return [to3tuple(item) for item in listofcomponen... | force 3 items in the tuple | entailment |
def getmakeidfobject(idf, key, name):
"""get idfobject or make it if it does not exist"""
idfobject = idf.getobject(key, name)
if not idfobject:
return idf.newidfobject(key, Name=name)
else:
return idfobject | get idfobject or make it if it does not exist | entailment |
def replacebranch1(idf, loop, branchname, listofcomponents_tuples, fluid=None,
debugsave=False):
"""do I even use this ? .... yup! I do"""
if fluid is None:
fluid = ''
listofcomponents_tuples = _clean_listofcomponents_tuples(listofcomponents_tuples)
branch = idf.getobject('BRA... | do I even use this ? .... yup! I do | entailment |
def replacebranch(idf, loop, branch,
listofcomponents, fluid=None,
debugsave=False,
testing=None):
"""It will replace the components in the branch with components in
listofcomponents"""
if fluid is None:
fluid = ''
# -------- testing --------... | It will replace the components in the branch with components in
listofcomponents | entailment |
def main():
"""the main routine"""
from six import StringIO
import eppy.iddv7 as iddv7
IDF.setiddname(StringIO(iddv7.iddtxt))
idf1 = IDF(StringIO(''))
loopname = "p_loop"
sloop = ['sb0', ['sb1', 'sb2', 'sb3'], 'sb4']
dloop = ['db0', ['db1', 'db2', 'db3'], 'db4']
# makeplantloop(idf1,... | the main routine | entailment |
def area(poly):
"""Area of a polygon poly"""
if len(poly) < 3: # not a plane - no area
return 0
total = [0, 0, 0]
num = len(poly)
for i in range(num):
vi1 = poly[i]
vi2 = poly[(i+1) % num]
prod = np.cross(vi1, vi2)
total[0] += prod[0]
total[1] += prod[... | Area of a polygon poly | entailment |
def unit_normal(pt_a, pt_b, pt_c):
"""unit normal vector of plane defined by points pt_a, pt_b, and pt_c"""
x_val = np.linalg.det([[1, pt_a[1], pt_a[2]], [1, pt_b[1], pt_b[2]], [1, pt_c[1], pt_c[2]]])
y_val = np.linalg.det([[pt_a[0], 1, pt_a[2]], [pt_b[0], 1, pt_b[2]], [pt_c[0], 1, pt_c[2]]])
z_val = np... | unit normal vector of plane defined by points pt_a, pt_b, and pt_c | entailment |
def width(poly):
"""Width of a polygon poly"""
num = len(poly) - 1
if abs(poly[num][2] - poly[0][2]) < abs(poly[1][2] - poly[0][2]):
return dist(poly[num], poly[0])
elif abs(poly[num][2] - poly[0][2]) > abs(poly[1][2] - poly[0][2]):
return dist(poly[1], poly[0])
else: return max(dist... | Width of a polygon poly | entailment |
def height(poly):
"""Height of a polygon poly"""
num = len(poly) - 1
if abs(poly[num][2] - poly[0][2]) > abs(poly[1][2] - poly[0][2]):
return dist(poly[num], poly[0])
elif abs(poly[num][2] - poly[0][2]) < abs(poly[1][2] - poly[0][2]):
return dist(poly[1], poly[0])
else:
retur... | Height of a polygon poly | entailment |
def angle2vecs(vec1, vec2):
"""angle between two vectors"""
# vector a * vector b = |a|*|b|* cos(angle between vector a and vector b)
dot = np.dot(vec1, vec2)
vec1_modulus = np.sqrt(np.multiply(vec1, vec1).sum())
vec2_modulus = np.sqrt(np.multiply(vec2, vec2).sum())
if (vec1_modulus * vec2_modul... | angle between two vectors | entailment |
def azimuth(poly):
"""Azimuth of a polygon poly"""
num = len(poly) - 1
vec = unit_normal(poly[0], poly[1], poly[num])
vec_azi = np.array([vec[0], vec[1], 0])
vec_n = np.array([0, 1, 0])
# update by Santosh
# angle2vecs gives the smallest angle between the vectors
# so for a west wall ang... | Azimuth of a polygon poly | entailment |
def tilt(poly):
"""Tilt of a polygon poly"""
num = len(poly) - 1
vec = unit_normal(poly[0], poly[1], poly[num])
vec_alt = np.array([vec[0], vec[1], vec[2]])
vec_z = np.array([0, 0, 1])
# return (90 - angle2vecs(vec_alt, vec_z)) # update by Santosh
return angle2vecs(vec_alt, vec_z) | Tilt of a polygon poly | entailment |
def getfields(comm):
"""get all the fields that have the key 'field' """
fields = []
for field in comm:
if 'field' in field:
fields.append(field)
return fields | get all the fields that have the key 'field' | entailment |
def repeatingfieldsnames(fields):
"""get the names of the repeating fields"""
fnames = [field['field'][0] for field in fields]
fnames = [bunchhelpers.onlylegalchar(fname) for fname in fnames]
fnames = [fname for fname in fnames if bunchhelpers.intinlist(fname.split())]
fnames = [(bunchhelpers.replac... | get the names of the repeating fields | entailment |
def missingkeys_standard(commdct, dtls, skiplist=None):
"""put missing keys in commdct for standard objects
return a list of keys where it is unable to do so
commdct is not returned, but is updated"""
if skiplist == None:
skiplist = []
# find objects where all the fields are not named
gk... | put missing keys in commdct for standard objects
return a list of keys where it is unable to do so
commdct is not returned, but is updated | entailment |
def missingkeys_nonstandard(block, commdct, dtls, objectlist, afield='afiled %s'):
"""This is an object list where thre is no first field name
to give a hint of what the first field name should be"""
afield = 'afield %s'
for key_txt in objectlist:
key_i = dtls.index(key_txt.upper())
comm... | This is an object list where thre is no first field name
to give a hint of what the first field name should be | entailment |
def get_event_loop():
"""Return a EventLoop instance.
A new instance is created for each new HTTP request. We determine
that we're in a new request by inspecting os.environ, which is reset
at the start of each request. Also, each thread gets its own loop.
"""
ev = _state.event_loop
if not os.getenv(_EV... | Return a EventLoop instance.
A new instance is created for each new HTTP request. We determine
that we're in a new request by inspecting os.environ, which is reset
at the start of each request. Also, each thread gets its own loop. | entailment |
def clear(self):
"""Remove all pending events without running any."""
while self.current or self.idlers or self.queue or self.rpcs:
current = self.current
idlers = self.idlers
queue = self.queue
rpcs = self.rpcs
_logging_debug('Clearing stale EventLoop instance...')
if curren... | Remove all pending events without running any. | entailment |
def insort_event_right(self, event, lo=0, hi=None):
"""Insert event in queue, and keep it sorted assuming queue is sorted.
If event is already in queue, insert it to the right of the rightmost
event (to keep FIFO order).
Optional args lo (default 0) and hi (default len(a)) bound the
slice of a to ... | Insert event in queue, and keep it sorted assuming queue is sorted.
If event is already in queue, insert it to the right of the rightmost
event (to keep FIFO order).
Optional args lo (default 0) and hi (default len(a)) bound the
slice of a to be searched.
Args:
event: a (time in sec since u... | entailment |
def queue_call(self, delay, callback, *args, **kwds):
"""Schedule a function call at a specific time in the future."""
if delay is None:
self.current.append((callback, args, kwds))
return
if delay < 1e9:
when = delay + self.clock.now()
else:
# Times over a billion seconds are ass... | Schedule a function call at a specific time in the future. | entailment |
def queue_rpc(self, rpc, callback=None, *args, **kwds):
"""Schedule an RPC with an optional callback.
The caller must have previously sent the call to the service.
The optional callback is called with the remaining arguments.
NOTE: If the rpc is a MultiRpc, the callback will be called once
for eac... | Schedule an RPC with an optional callback.
The caller must have previously sent the call to the service.
The optional callback is called with the remaining arguments.
NOTE: If the rpc is a MultiRpc, the callback will be called once
for each sub-RPC. TODO: Is this a good idea? | entailment |
def add_idle(self, callback, *args, **kwds):
"""Add an idle callback.
An idle callback can return True, False or None. These mean:
- None: remove the callback (don't reschedule)
- False: the callback did no work; reschedule later
- True: the callback did some work; reschedule soon
If the cal... | Add an idle callback.
An idle callback can return True, False or None. These mean:
- None: remove the callback (don't reschedule)
- False: the callback did no work; reschedule later
- True: the callback did some work; reschedule soon
If the callback raises an exception, the traceback is logged a... | entailment |
def run_idle(self):
"""Run one of the idle callbacks.
Returns:
True if one was called, False if no idle callback was called.
"""
if not self.idlers or self.inactive >= len(self.idlers):
return False
idler = self.idlers.popleft()
callback, args, kwds = idler
_logging_debug('idler... | Run one of the idle callbacks.
Returns:
True if one was called, False if no idle callback was called. | entailment |
def run0(self):
"""Run one item (a callback or an RPC wait_any).
Returns:
A time to sleep if something happened (may be 0);
None if all queues are empty.
"""
if self.current:
self.inactive = 0
callback, args, kwds = self.current.popleft()
_logging_debug('nowevent: %s', cal... | Run one item (a callback or an RPC wait_any).
Returns:
A time to sleep if something happened (may be 0);
None if all queues are empty. | entailment |
def run1(self):
"""Run one item (a callback or an RPC wait_any) or sleep.
Returns:
True if something happened; False if all queues are empty.
"""
delay = self.run0()
if delay is None:
return False
if delay > 0:
self.clock.sleep(delay)
return True | Run one item (a callback or an RPC wait_any) or sleep.
Returns:
True if something happened; False if all queues are empty. | entailment |
def _args_to_val(func, args):
"""Helper for GQL parsing to extract values from GQL expressions.
This can extract the value from a GQL literal, return a Parameter
for a GQL bound parameter (:1 or :foo), and interprets casts like
KEY(...) and plain lists of values like (1, 2, 3).
Args:
func: A string indi... | Helper for GQL parsing to extract values from GQL expressions.
This can extract the value from a GQL literal, return a Parameter
for a GQL bound parameter (:1 or :foo), and interprets casts like
KEY(...) and plain lists of values like (1, 2, 3).
Args:
func: A string indicating what kind of thing this is.
... | entailment |
def _get_prop_from_modelclass(modelclass, name):
"""Helper for FQL parsing to turn a property name into a property object.
Args:
modelclass: The model class specified in the query.
name: The property name. This may contain dots which indicate
sub-properties of structured properties.
Returns:
... | Helper for FQL parsing to turn a property name into a property object.
Args:
modelclass: The model class specified in the query.
name: The property name. This may contain dots which indicate
sub-properties of structured properties.
Returns:
A Property object.
Raises:
KeyError if the prop... | entailment |
def gql(query_string, *args, **kwds):
"""Parse a GQL query string.
Args:
query_string: Full GQL query, e.g. 'SELECT * FROM Kind WHERE prop = 1'.
*args, **kwds: If present, used to call bind().
Returns:
An instance of query_class.
"""
qry = _gql(query_string)
if args or kwds:
qry = qry._bin... | Parse a GQL query string.
Args:
query_string: Full GQL query, e.g. 'SELECT * FROM Kind WHERE prop = 1'.
*args, **kwds: If present, used to call bind().
Returns:
An instance of query_class. | entailment |
def _gql(query_string, query_class=Query):
"""Parse a GQL query string (internal version).
Args:
query_string: Full GQL query, e.g. 'SELECT * FROM Kind WHERE prop = 1'.
query_class: Optional class to use, default Query.
Returns:
An instance of query_class.
"""
from .google_imports import gql # ... | Parse a GQL query string (internal version).
Args:
query_string: Full GQL query, e.g. 'SELECT * FROM Kind WHERE prop = 1'.
query_class: Optional class to use, default Query.
Returns:
An instance of query_class. | entailment |
def _apply(self, key_value_map):
"""Apply the filter to values extracted from an entity.
Think of self.match_keys and self.match_values as representing a
table with one row. For example:
match_keys = ('name', 'age', 'rank')
match_values = ('Joe', 24, 5)
(Except that in reality, the value... | Apply the filter to values extracted from an entity.
Think of self.match_keys and self.match_values as representing a
table with one row. For example:
match_keys = ('name', 'age', 'rank')
match_values = ('Joe', 24, 5)
(Except that in reality, the values are represented by tuples
produced... | entailment |
def _fix_namespace(self):
"""Internal helper to fix the namespace.
This is called to ensure that for queries without an explicit
namespace, the namespace used by async calls is the one in effect
at the time the async call is made, not the one in effect when the
the request is actually generated.
... | Internal helper to fix the namespace.
This is called to ensure that for queries without an explicit
namespace, the namespace used by async calls is the one in effect
at the time the async call is made, not the one in effect when the
the request is actually generated. | entailment |
def run_to_queue(self, queue, conn, options=None, dsquery=None):
"""Run this query, putting entities into the given queue."""
try:
multiquery = self._maybe_multi_query()
if multiquery is not None:
yield multiquery.run_to_queue(queue, conn, options=options)
return
if dsquery is... | Run this query, putting entities into the given queue. | entailment |
def is_distinct(self):
"""True if results are guaranteed to contain a unique set of property
values.
This happens when every property in the group_by is also in the projection.
"""
return bool(self.__group_by and
set(self._to_property_names(self.__group_by)) <=
set(s... | True if results are guaranteed to contain a unique set of property
values.
This happens when every property in the group_by is also in the projection. | entailment |
def filter(self, *args):
"""Return a new Query with additional filter(s) applied."""
if not args:
return self
preds = []
f = self.filters
if f:
preds.append(f)
for arg in args:
if not isinstance(arg, Node):
raise TypeError('Cannot filter a non-Node argument; received %r... | Return a new Query with additional filter(s) applied. | entailment |
def order(self, *args):
"""Return a new Query with additional sort order(s) applied."""
# q.order(Employee.name, -Employee.age)
if not args:
return self
orders = []
o = self.orders
if o:
orders.append(o)
for arg in args:
if isinstance(arg, model.Property):
orders.ap... | Return a new Query with additional sort order(s) applied. | entailment |
def map(self, callback, pass_batch_into_callback=None,
merge_future=None, **q_options):
"""Map a callback function or tasklet over the query results.
Args:
callback: A function or tasklet to be applied to each result; see below.
merge_future: Optional Future subclass; see below.
**q... | Map a callback function or tasklet over the query results.
Args:
callback: A function or tasklet to be applied to each result; see below.
merge_future: Optional Future subclass; see below.
**q_options: All query options keyword arguments are supported.
Callback signature: The callback is nor... | entailment |
def map_async(self, callback, pass_batch_into_callback=None,
merge_future=None, **q_options):
"""Map a callback function or tasklet over the query results.
This is the asynchronous version of Query.map().
"""
qry = self._fix_namespace()
return tasklets.get_context().map_query(
... | Map a callback function or tasklet over the query results.
This is the asynchronous version of Query.map(). | entailment |
def fetch_async(self, limit=None, **q_options):
"""Fetch a list of query results, up to a limit.
This is the asynchronous version of Query.fetch().
"""
if limit is None:
default_options = self._make_options(q_options)
if default_options is not None and default_options.limit is not None:
... | Fetch a list of query results, up to a limit.
This is the asynchronous version of Query.fetch(). | entailment |
def _get_async(self, **q_options):
"""Internal version of get_async()."""
res = yield self.fetch_async(1, **q_options)
if not res:
raise tasklets.Return(None)
raise tasklets.Return(res[0]) | Internal version of get_async(). | entailment |
def count_async(self, limit=None, **q_options):
"""Count the number of query results, up to a limit.
This is the asynchronous version of Query.count().
"""
qry = self._fix_namespace()
return qry._count_async(limit=limit, **q_options) | Count the number of query results, up to a limit.
This is the asynchronous version of Query.count(). | entailment |
def _count_async(self, limit=None, **q_options):
"""Internal version of count_async()."""
# TODO: Support offset by incorporating it to the limit.
if 'offset' in q_options:
raise NotImplementedError('.count() and .count_async() do not support '
'offsets at present.')
... | Internal version of count_async(). | entailment |
def fetch_page_async(self, page_size, **q_options):
"""Fetch a page of results.
This is the asynchronous version of Query.fetch_page().
"""
qry = self._fix_namespace()
return qry._fetch_page_async(page_size, **q_options) | Fetch a page of results.
This is the asynchronous version of Query.fetch_page(). | entailment |
def _fetch_page_async(self, page_size, **q_options):
"""Internal version of fetch_page_async()."""
q_options.setdefault('batch_size', page_size)
q_options.setdefault('produce_cursors', True)
it = self.iter(limit=page_size + 1, **q_options)
results = []
while (yield it.has_next_async()):
re... | Internal version of fetch_page_async(). | entailment |
def _make_options(self, q_options):
"""Helper to construct a QueryOptions object from keyword arguments.
Args:
q_options: a dict of keyword arguments.
Note that either 'options' or 'config' can be used to pass another
QueryOptions object, but not both. If another QueryOptions object is
give... | Helper to construct a QueryOptions object from keyword arguments.
Args:
q_options: a dict of keyword arguments.
Note that either 'options' or 'config' can be used to pass another
QueryOptions object, but not both. If another QueryOptions object is
given it provides default values.
If self.... | entailment |
def analyze(self):
"""Return a list giving the parameters required by a query."""
class MockBindings(dict):
def __contains__(self, key):
self[key] = None
return True
bindings = MockBindings()
used = {}
ancestor = self.ancestor
if isinstance(ancestor, ParameterizedThing):
... | Return a list giving the parameters required by a query. | entailment |
def _bind(self, args, kwds):
"""Bind parameter values. Returns a new Query object."""
bindings = dict(kwds)
for i, arg in enumerate(args):
bindings[i + 1] = arg
used = {}
ancestor = self.ancestor
if isinstance(ancestor, ParameterizedThing):
ancestor = ancestor.resolve(bindings, used... | Bind parameter values. Returns a new Query object. | entailment |
def cursor_before(self):
"""Return the cursor before the current item.
You must pass a QueryOptions object with produce_cursors=True
for this to work.
If there is no cursor or no current item, raise BadArgumentError.
Before next() has returned there is no cursor. Once the loop is
exhausted, t... | Return the cursor before the current item.
You must pass a QueryOptions object with produce_cursors=True
for this to work.
If there is no cursor or no current item, raise BadArgumentError.
Before next() has returned there is no cursor. Once the loop is
exhausted, this returns the cursor after the... | entailment |
def cursor_after(self):
"""Return the cursor after the current item.
You must pass a QueryOptions object with produce_cursors=True
for this to work.
If there is no cursor or no current item, raise BadArgumentError.
Before next() has returned there is no cursor. Once the loop is
exhausted, t... | Return the cursor after the current item.
You must pass a QueryOptions object with produce_cursors=True
for this to work.
If there is no cursor or no current item, raise BadArgumentError.
Before next() has returned there is no cursor. Once the loop is
exhausted, this returns the cursor after th... | entailment |
def has_next_async(self):
"""Return a Future whose result will say whether a next item is available.
See the module docstring for the usage pattern.
"""
if self._fut is None:
self._fut = self._iter.getq()
flag = True
try:
yield self._fut
except EOFError:
flag = False
r... | Return a Future whose result will say whether a next item is available.
See the module docstring for the usage pattern. | entailment |
def next(self):
"""Iterator protocol: get next item or raise StopIteration."""
if self._fut is None:
self._fut = self._iter.getq()
try:
try:
# The future result is set by this class's _extended_callback
# method.
# pylint: disable=unpacking-non-sequence
(ent,
... | Iterator protocol: get next item or raise StopIteration. | entailment |
def run_to_queue(self, queue, conn, options=None):
"""Run this query, putting entities into the given queue."""
if options is None:
# Default options.
offset = None
limit = None
keys_only = None
else:
# Capture options we need to simulate.
offset = options.offset
li... | Run this query, putting entities into the given queue. | entailment |
def memcache_get(self, key, for_cas=False, namespace=None, use_cache=False,
deadline=None):
"""An auto-batching wrapper for memcache.get() or .get_multi().
Args:
key: Key to set. This must be a string; no prefix is applied.
for_cas: If True, request and store CAS ids on the Cont... | An auto-batching wrapper for memcache.get() or .get_multi().
Args:
key: Key to set. This must be a string; no prefix is applied.
for_cas: If True, request and store CAS ids on the Context.
namespace: Optional namespace.
deadline: Optional deadline for the RPC.
Returns:
A Future ... | entailment |
def positional(max_pos_args):
"""A decorator to declare that only the first N arguments may be positional.
Note that for methods, n includes 'self'.
"""
__ndb_debug__ = 'SKIP'
def positional_decorator(wrapped):
if not DEBUG:
return wrapped
__ndb_debug__ = 'SKIP'
@wrapping(wrapped)
def... | A decorator to declare that only the first N arguments may be positional.
Note that for methods, n includes 'self'. | entailment |
def decorator(wrapped_decorator):
"""Converts a function into a decorator that optionally accepts keyword
arguments in its declaration.
Example usage:
@utils.decorator
def decorator(func, args, kwds, op1=None):
... apply op1 ...
return func(*args, **kwds)
# Form (1), vanilla
@decorat... | Converts a function into a decorator that optionally accepts keyword
arguments in its declaration.
Example usage:
@utils.decorator
def decorator(func, args, kwds, op1=None):
... apply op1 ...
return func(*args, **kwds)
# Form (1), vanilla
@decorator
foo(...)
...
# Form (... | entailment |
def fibonacci(n):
"""A recursive Fibonacci to exercise task switching."""
if n <= 1:
raise ndb.Return(n)
a, b = yield fibonacci(n - 1), fibonacci(n - 2)
raise ndb.Return(a + b) | A recursive Fibonacci to exercise task switching. | entailment |
def memoizing_fibonacci(n):
"""A memoizing recursive Fibonacci to exercise RPCs."""
if n <= 1:
raise ndb.Return(n)
key = ndb.Key(FibonacciMemo, str(n))
memo = yield key.get_async(ndb_should_cache=False)
if memo is not None:
assert memo.arg == n
logging.info('memo hit: %d -> %d', n, memo.value)
... | A memoizing recursive Fibonacci to exercise RPCs. | entailment |
def run_queue(self, options, todo):
"""Actually run the _todo_tasklet."""
utils.logging_debug('AutoBatcher(%s): %d items',
self._todo_tasklet.__name__, len(todo))
batch_fut = self._todo_tasklet(todo, options)
self._running.append(batch_fut)
# Add a callback when we're done.
... | Actually run the _todo_tasklet. | entailment |
def add(self, arg, options=None):
"""Adds an arg and gets back a future.
Args:
arg: one argument for _todo_tasklet.
options: rpc options.
Return:
An instance of future, representing the result of running
_todo_tasklet without batching.
"""
fut = tasklets.Future('%s.add(%s... | Adds an arg and gets back a future.
Args:
arg: one argument for _todo_tasklet.
options: rpc options.
Return:
An instance of future, representing the result of running
_todo_tasklet without batching. | entailment |
def _finished_callback(self, batch_fut, todo):
"""Passes exception along.
Args:
batch_fut: the batch future returned by running todo_tasklet.
todo: (fut, option) pair. fut is the future return by each add() call.
If the batch fut was successful, it has already called fut.set_result()
on ot... | Passes exception along.
Args:
batch_fut: the batch future returned by running todo_tasklet.
todo: (fut, option) pair. fut is the future return by each add() call.
If the batch fut was successful, it has already called fut.set_result()
on other individual futs. This method only handles when the... | entailment |
def get_namespaces(start=None, end=None):
"""Return all namespaces in the specified range.
Args:
start: only return namespaces >= start if start is not None.
end: only return namespaces < end if end is not None.
Returns:
A list of namespace names between the (optional) start and end values.
"""
... | Return all namespaces in the specified range.
Args:
start: only return namespaces >= start if start is not None.
end: only return namespaces < end if end is not None.
Returns:
A list of namespace names between the (optional) start and end values. | entailment |
def get_kinds(start=None, end=None):
"""Return all kinds in the specified range, for the current namespace.
Args:
start: only return kinds >= start if start is not None.
end: only return kinds < end if end is not None.
Returns:
A list of kind names between the (optional) start and end values.
"""
... | Return all kinds in the specified range, for the current namespace.
Args:
start: only return kinds >= start if start is not None.
end: only return kinds < end if end is not None.
Returns:
A list of kind names between the (optional) start and end values. | entailment |
def get_properties_of_kind(kind, start=None, end=None):
"""Return all properties of kind in the specified range.
NOTE: This function does not return unindexed properties.
Args:
kind: name of kind whose properties you want.
start: only return properties >= start if start is not None.
end: only return... | Return all properties of kind in the specified range.
NOTE: This function does not return unindexed properties.
Args:
kind: name of kind whose properties you want.
start: only return properties >= start if start is not None.
end: only return properties < end if end is not None.
Returns:
A list ... | entailment |
def get_representations_of_kind(kind, start=None, end=None):
"""Return all representations of properties of kind in the specified range.
NOTE: This function does not return unindexed properties.
Args:
kind: name of kind whose properties you want.
start: only return properties >= start if start is not No... | Return all representations of properties of kind in the specified range.
NOTE: This function does not return unindexed properties.
Args:
kind: name of kind whose properties you want.
start: only return properties >= start if start is not None.
end: only return properties < end if end is not None.
R... | entailment |
def get_entity_group_version(key):
"""Return the version of the entity group containing key.
Args:
key: a key for an entity group whose __entity_group__ key you want.
Returns:
The version of the entity group containing key. This version is
guaranteed to increase on every change to the entity group. ... | Return the version of the entity group containing key.
Args:
key: a key for an entity group whose __entity_group__ key you want.
Returns:
The version of the entity group containing key. This version is
guaranteed to increase on every change to the entity group. The version
may increase even in the... | entailment |
def key_for_namespace(cls, namespace):
"""Return the Key for a namespace.
Args:
namespace: A string giving the namespace whose key is requested.
Returns:
The Key for the namespace.
"""
if namespace:
return model.Key(cls.KIND_NAME, namespace)
else:
return model.Key(cls.K... | Return the Key for a namespace.
Args:
namespace: A string giving the namespace whose key is requested.
Returns:
The Key for the namespace. | entailment |
def key_for_property(cls, kind, property):
"""Return the __property__ key for property of kind.
Args:
kind: kind whose key is requested.
property: property whose key is requested.
Returns:
The key for property of kind.
"""
return model.Key(Kind.KIND_NAME, kind, Property.KIND_NAME... | Return the __property__ key for property of kind.
Args:
kind: kind whose key is requested.
property: property whose key is requested.
Returns:
The key for property of kind. | entailment |
def key_to_kind(cls, key):
"""Return the kind specified by a given __property__ key.
Args:
key: key whose kind name is requested.
Returns:
The kind specified by key.
"""
if key.kind() == Kind.KIND_NAME:
return key.id()
else:
return key.parent().id() | Return the kind specified by a given __property__ key.
Args:
key: key whose kind name is requested.
Returns:
The kind specified by key. | entailment |
def key_for_entity_group(cls, key):
"""Return the key for the entity group containing key.
Args:
key: a key for an entity group whose __entity_group__ key you want.
Returns:
The __entity_group__ key for the entity group containing key.
"""
return model.Key(cls.KIND_NAME, cls.ID, parent... | Return the key for the entity group containing key.
Args:
key: a key for an entity group whose __entity_group__ key you want.
Returns:
The __entity_group__ key for the entity group containing key. | entailment |
def process_request(self, unused_request):
"""Called by Django before deciding which view to execute."""
# Compare to the first half of toplevel() in context.py.
tasklets._state.clear_all_pending()
# Create and install a new context.
ctx = tasklets.make_default_context()
tasklets.set_context(ctx... | Called by Django before deciding which view to execute. | entailment |
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