https://github.com/annotation/text-fabric
Raw File
Tip revision: 719682678fec2fc37ebe3d8f72d4044998a8a7ce authored by Dirk Roorda on 19 April 2018, 09:17:58 UTC
New minor release 3.3.2
Tip revision: 7196826
api.py
import collections
from .helpers import makeInverse, makeInverseVal
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.TF = TF
        self.ignored = tuple(sorted(TF.featuresIgnored))
        self.F = NodeFeatures()
        self.Feature = self.F
        self.E = EdgeFeatures()
        self.Edge = self.E
        self.C = Computeds()
        self.Computed = self.C
        self.info = TF.tm.info
        self.error = TF.tm.error
        self.indent = TF.tm.indent
        self.loadLog = TF.tm.cache
        setattr(self, 'FeatureString', self.Fs)
        setattr(self, 'EdgeString', self.Es)
        setattr(self, 'ComputedString', self.Cs)
        setattr(self, 'Nodes', self.N)
        setattr(self, 'AllFeatures', self.Fall)
        setattr(self, 'AllEdges', self.Eall)
        setattr(self, 'AllComputeds', self.Call)

    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)
    api.Locality = api.L


def addText(api):
    api.T = Text(api)
    api.Text = api.T


def addSearch(api, silent):
    api.S = Search(api, silent)
    api.Search = api.S
back to top