https://github.com/annotation/text-fabric
Tip revision: 46d91f1fab40812b64ee6cb962259a90b84bf03d authored by Dirk Roorda on 23 September 2017, 20:40:12 UTC
New minor release 2.3.12
New minor release 2.3.12
Tip revision: 46d91f1
api.py
import collections
from .helpers import *
from .locality import Locality
from .text import Text
from .search import Search
class OtypeFeature(object):
def __init__(self, api, data=None):
self.api = api
self.data = data
self.slotType = self.data[-2]
self.maxSlot = self.data[-1]
self.maxNode = len(self.data) - 2 + self.maxSlot
def v(self, n):
if n == 0: return None
if n < self.maxSlot + 1:
return self.data[-2]
m = n - self.maxSlot
if m <= len(self.data) - 2:
return self.data[m-1]
return None
def s(self, val):
# NB: the support attribute has been added by precomputing __levels__
if val in self.support:
(b, e) = self.support[val]
return range(b, e+1)
else:
return ()
def sInterval(self, val):
# NB: the support attribute has been added by precomputing __levels__
if val in self.support:
return self.support[val]
else:
return ()
class OslotsFeature(object):
def __init__(self, api, data=None):
self.api = api
self.data = data
self.maxSlot = self.data[-1]
def s(self, n):
if n == 0: return ()
if n < self.maxSlot + 1:
return (n,)
m = n - self.maxSlot
if m <= len(self.data) - 1:
return self.data[m-1]
return ()
class NodeFeature(object):
def __init__(self, api, data):
self.api = api
self.data = data
def v(self, n):
if n in self.data:
return self.data[n]
return None
def s(self, val):
Crank = self.api.C.rank.data
return tuple(sorted(
[n for n in self.data if self.data[n] == val],
key=lambda n: Crank[n-1],
))
def freqList(self):
fql = collections.Counter()
for n in self.data: fql[self.data[n]] += 1
return tuple(sorted(fql.items(), key=lambda x: (-x[1], x[0])))
class EdgeFeature(object):
def __init__(self, api, data, doValues):
self.api = api
self.data = data
self.doValues = doValues
self.dataInv = makeInverseVal(self.data) if doValues else makeInverse(self.data)
def f(self, n):
Crank = self.api.C.rank.data
if n in self.data:
if self.doValues:
return tuple(sorted(
self.data[n].items(),
key=lambda mv: Crank[mv[0]-1],
))
else:
return tuple(sorted(
self.data[n],
key=lambda m: Crank[m-1],
))
return ()
def t(self, n):
Crank = self.api.C.rank.data
if n in self.dataInv:
if self.doValues:
return tuple(sorted(
self.dataInv[n].items(),
key=lambda mv: Crank[mv[0]-1],
))
else:
return tuple(sorted(
self.dataInv[n],
key=lambda m: Crank[m-1],
))
return ()
class Computed(object):
def __init__(self, api, data):
self.api = api
self.data = data
class NodeFeatures(object): pass
class EdgeFeatures(object): pass
class Computeds(object): pass
class Api(object):
def __init__(self, tf):
self.ignored = tuple(sorted(tf.featuresIgnored))
self.F = NodeFeatures()
self.E = EdgeFeatures()
self.C = Computeds()
self.info = tf.tm.info
self.error = tf.tm.error
self.indent = tf.tm.indent
self.loadLog = tf.tm.cache
def Fs(self, fName):
if not hasattr(self.F, fName):
self.error('Node feature "{}" not loaded'.format(fName))
return None
return getattr(self.F, fName)
def Es(self, fName):
if not hasattr(self.E, fName):
self.error('Edge feature "{}" not loaded'.format(fName))
return None
return getattr(self.E, fName)
def Cs(self, fName):
if not hasattr(self.C, fName):
self.error('Computed feature "{}" not loaded'.format(fName))
return None
return getattr(self.C, fName)
def N(self):
for n in self.C.order.data: yield n
def sortNodes(self, nodeSet):
Crank = self.C.rank.data
return sorted(nodeSet, key=lambda n: Crank[n-1])
def Fall(self): return sorted(x[0] for x in self.F.__dict__.items())
def Eall(self): return sorted(x[0] for x in self.E.__dict__.items())
def Call(self): return sorted(x[0] for x in self.C.__dict__.items())
def makeAvailableIn(self, scope):
for member in dir(self):
if '_' not in member and member != 'makeAvailableIn': scope[member] = getattr(self, member)
def addSortKey(api):
Crank = api.C.rank.data
api.sortKey = lambda n: Crank[n-1]
def addOtype(api):
setattr(api.F.otype, 'all', tuple(o[0] for o in api.C.levels.data))
setattr(api.F.otype, 'support', dict(((o[0], (o[2], o[3])) for o in api.C.levels.data)))
def addLocality(api):
api.L = Locality(api)
def addText(api, tf):
api.T = Text(api, tf)
def addSearch(api, tf, silent):
api.S = Search(api, tf, silent)