import numpy as np
import math
from encoder import Encoder
from iutils import *
from isdp import *

#Concatenate encoded results
class MultiEncoder(Encoder):

	def __init__(self, encoders):
		self.encoders = encoders
		self.vsize = 0
		self.lens = []
		self.spa_nbits = 0
		for enc in self.encoders :
			self.vsize += enc.vsize
			self.lens.append(self.vsize)
			self.spa_nbits += enc.spa_nbits

		self.spa, _ = spaORnbits(self.vsize, self.spa_nbits)


	@property
	def info(self):
		s = "=====================================\n"
		for e in self.encoders :
			s += e.info
			s += "-----------------------------------\n"
		s += "Total number of bits : %s\n" % self.vsize
		s += "Sparsity : %s\n" % self.spa
		s += "Sparse bits : %s\n" % self.spa_nbits
		return s

	#one data item per encoder
	def encode(self, data):
		if isinstance(data, (int,str)) : data = [data]
		assert len(data) == len(self.encoders), "Data <=> Encoder size mistmatch"
		encoded = [ self.encoders[i].encode(d) for i,d in enumerate(data) ]
		return isdp.concat(encoded)

	def decode(self, sdr):
		raise NotImplementedError #!fixme : must deconcatenate/split
		assert len(sdr) == self.vsize, "Mismatch in the size of SDR (%s) expected %s" % (sdr.size, self.vsize)
		rv = []
		# for i, enc in enumerate(self.encoders) :
		# 	#find start-end range of bits to change
		# 	start = 0 if i == 0 else self.lens[i-1]
		# 	rv.append( enc.decode(sdr[start: self.lens[i]]) )
		return rv


	#Encode some random value close to the passed value
	def nboor(self, values, radius=0.1, rv=None):
		return [ enc.nboor(val,radius,rv) for enc, val in zip(self.encoders, values) ]

	def nboors(self, values, samples=1, radius=0.05):
		rv = []
		for v in values :
			vals = []
			for i in xrange(samples) :
				lst = self.nboor(v,radius)
				vals.append(lst)
			rv.append(vals)
		return rv



	def process(self, data): return self.encode(data)
	

6064e848e09f47c08ec280c5f9650af66bd5f6ce
<mask token>


class MultiEncoder(Encoder):
    <mask token>
    <mask token>
    <mask token>
    <mask token>
    <mask token>
    <mask token>
    <mask token>

<mask token>


class MultiEncoder(Encoder):

    def __init__(self, encoders):
        self.encoders = encoders
        self.vsize = 0
        self.lens = []
        self.spa_nbits = 0
        for enc in self.encoders:
            self.vsize += enc.vsize
            self.lens.append(self.vsize)
            self.spa_nbits += enc.spa_nbits
        self.spa, _ = spaORnbits(self.vsize, self.spa_nbits)

    @property
    def info(self):
        s = '=====================================\n'
        for e in self.encoders:
            s += e.info
            s += '-----------------------------------\n'
        s += 'Total number of bits : %s\n' % self.vsize
        s += 'Sparsity : %s\n' % self.spa
        s += 'Sparse bits : %s\n' % self.spa_nbits
        return s
    <mask token>

    def decode(self, sdr):
        raise NotImplementedError
        assert len(sdr
            ) == self.vsize, 'Mismatch in the size of SDR (%s) expected %s' % (
            sdr.size, self.vsize)
        rv = []
        return rv

    def nboor(self, values, radius=0.1, rv=None):
        return [enc.nboor(val, radius, rv) for enc, val in zip(self.
            encoders, values)]

    def nboors(self, values, samples=1, radius=0.05):
        rv = []
        for v in values:
            vals = []
            for i in xrange(samples):
                lst = self.nboor(v, radius)
                vals.append(lst)
            rv.append(vals)
        return rv
    <mask token>

<mask token>


class MultiEncoder(Encoder):

    def __init__(self, encoders):
        self.encoders = encoders
        self.vsize = 0
        self.lens = []
        self.spa_nbits = 0
        for enc in self.encoders:
            self.vsize += enc.vsize
            self.lens.append(self.vsize)
            self.spa_nbits += enc.spa_nbits
        self.spa, _ = spaORnbits(self.vsize, self.spa_nbits)

    @property
    def info(self):
        s = '=====================================\n'
        for e in self.encoders:
            s += e.info
            s += '-----------------------------------\n'
        s += 'Total number of bits : %s\n' % self.vsize
        s += 'Sparsity : %s\n' % self.spa
        s += 'Sparse bits : %s\n' % self.spa_nbits
        return s

    def encode(self, data):
        if isinstance(data, (int, str)):
            data = [data]
        assert len(data) == len(self.encoders
            ), 'Data <=> Encoder size mistmatch'
        encoded = [self.encoders[i].encode(d) for i, d in enumerate(data)]
        return isdp.concat(encoded)

    def decode(self, sdr):
        raise NotImplementedError
        assert len(sdr
            ) == self.vsize, 'Mismatch in the size of SDR (%s) expected %s' % (
            sdr.size, self.vsize)
        rv = []
        return rv

    def nboor(self, values, radius=0.1, rv=None):
        return [enc.nboor(val, radius, rv) for enc, val in zip(self.
            encoders, values)]

    def nboors(self, values, samples=1, radius=0.05):
        rv = []
        for v in values:
            vals = []
            for i in xrange(samples):
                lst = self.nboor(v, radius)
                vals.append(lst)
            rv.append(vals)
        return rv
    <mask token>

import numpy as np
import math
from encoder import Encoder
from iutils import *
from isdp import *


class MultiEncoder(Encoder):

    def __init__(self, encoders):
        self.encoders = encoders
        self.vsize = 0
        self.lens = []
        self.spa_nbits = 0
        for enc in self.encoders:
            self.vsize += enc.vsize
            self.lens.append(self.vsize)
            self.spa_nbits += enc.spa_nbits
        self.spa, _ = spaORnbits(self.vsize, self.spa_nbits)

    @property
    def info(self):
        s = '=====================================\n'
        for e in self.encoders:
            s += e.info
            s += '-----------------------------------\n'
        s += 'Total number of bits : %s\n' % self.vsize
        s += 'Sparsity : %s\n' % self.spa
        s += 'Sparse bits : %s\n' % self.spa_nbits
        return s

    def encode(self, data):
        if isinstance(data, (int, str)):
            data = [data]
        assert len(data) == len(self.encoders
            ), 'Data <=> Encoder size mistmatch'
        encoded = [self.encoders[i].encode(d) for i, d in enumerate(data)]
        return isdp.concat(encoded)

    def decode(self, sdr):
        raise NotImplementedError
        assert len(sdr
            ) == self.vsize, 'Mismatch in the size of SDR (%s) expected %s' % (
            sdr.size, self.vsize)
        rv = []
        return rv

    def nboor(self, values, radius=0.1, rv=None):
        return [enc.nboor(val, radius, rv) for enc, val in zip(self.
            encoders, values)]

    def nboors(self, values, samples=1, radius=0.05):
        rv = []
        for v in values:
            vals = []
            for i in xrange(samples):
                lst = self.nboor(v, radius)
                vals.append(lst)
            rv.append(vals)
        return rv

    def process(self, data):
        return self.encode(data)

import numpy as np
import math
from encoder import Encoder
from iutils import *
from isdp import *

#Concatenate encoded results
class MultiEncoder(Encoder):

	def __init__(self, encoders):
		self.encoders = encoders
		self.vsize = 0
		self.lens = []
		self.spa_nbits = 0
		for enc in self.encoders :
			self.vsize += enc.vsize
			self.lens.append(self.vsize)
			self.spa_nbits += enc.spa_nbits

		self.spa, _ = spaORnbits(self.vsize, self.spa_nbits)


	@property
	def info(self):
		s = "=====================================\n"
		for e in self.encoders :
			s += e.info
			s += "-----------------------------------\n"
		s += "Total number of bits : %s\n" % self.vsize
		s += "Sparsity : %s\n" % self.spa
		s += "Sparse bits : %s\n" % self.spa_nbits
		return s

	#one data item per encoder
	def encode(self, data):
		if isinstance(data, (int,str)) : data = [data]
		assert len(data) == len(self.encoders), "Data <=> Encoder size mistmatch"
		encoded = [ self.encoders[i].encode(d) for i,d in enumerate(data) ]
		return isdp.concat(encoded)

	def decode(self, sdr):
		raise NotImplementedError #!fixme : must deconcatenate/split
		assert len(sdr) == self.vsize, "Mismatch in the size of SDR (%s) expected %s" % (sdr.size, self.vsize)
		rv = []
		# for i, enc in enumerate(self.encoders) :
		# 	#find start-end range of bits to change
		# 	start = 0 if i == 0 else self.lens[i-1]
		# 	rv.append( enc.decode(sdr[start: self.lens[i]]) )
		return rv


	#Encode some random value close to the passed value
	def nboor(self, values, radius=0.1, rv=None):
		return [ enc.nboor(val,radius,rv) for enc, val in zip(self.encoders, values) ]

	def nboors(self, values, samples=1, radius=0.05):
		rv = []
		for v in values :
			vals = []
			for i in xrange(samples) :
				lst = self.nboor(v,radius)
				vals.append(lst)
			rv.append(vals)
		return rv



	def process(self, data): return self.encode(data)
	
