# Path: sdopt/nodes/attributes.py
# class NodeAttr:
#     bounds    =  1
#     con_num   =  2
#     d_term    =  3
#     display   =  4
#     input_ord =  5
#     n_term    =  6
#     name      =  7
#     node_id   =  8
#     number    =  9
#     operation = 10
#     type      = 11
#     var_num   = 12
# 
# Path: sdopt/representation/dag_util.py
# def get_pretty_type_str(dag, n):
#     return dag.node[n][NodeAttr.type] + '_node'
# 
# Path: sdopt/util/stringIO.py

# 
# Path: sdopt/util/redirect_stdout.py
# @contextmanager
# def redirect_stdout(ostream):
#     oldstdout = sys.stdout
#     sys.stdout = ostream
#     try:
#         yield ostream
#     finally:
#         sys.stdout = oldstdout


import math
from operator import itemgetter
from string import Template
from contextlib import closing
from six.moves import zip as izip
from ..nodes.attributes import NodeAttr
from ..representation.dag_util import get_pretty_type_str
from ..util.stringIO import stringIO
from ..util.redirect_stdout import redirect_stdout
    # u_j  (+)= lam_j*(1/lnarg)*u_i
    lnarg_recip = 'lnarg_recip_%d' % n
    print('%s = 1.0/(%s)' % (lnarg_recip, lin_comb_str(n,d,con_dag,base_vars)))
    for lam, node in gen_inedge_mult(n, d, con_dag):
        args = (node, assign(seen,node), lmul_d_term_str(lam), lnarg_recip, n)
        print('u%d %s %s%s * u%d' % args)
        
def sqr_node_rev(n, d, con_dag, base_vars, seen):
    # t_i  = sqr(lam_j*t_j + ...)
    # sqrarg   = lam_j*t_j + ...
    # u_j (+)= 2.0*lam_j*sqrarg*u_i
    sqrarg = 'sqrarg_%d' % n
    print('%s = 2.0*%s' % (sqrarg, lin_comb_str(n,d,con_dag,base_vars)))
    for lam, node in gen_inedge_mult(n, d, con_dag):
        args = (node, assign(seen,node), lmul_d_term_str(lam), sqrarg, n)
        print('u%d %s %s%s * u%d' % args)

def pow_node_rev(n, d, con_dag, base_vars, seen):
    # t_i   = pow(base, power)
    # u_j (+)= lam_j*power*pow(base, power-1)*u_i
    mult, pred = binary_node_inedge_mult(n, d, con_dag)
    d_term = d.get(NodeAttr.d_term, 0.0)
    base  = lambda_to_str(mult[0]) + idx_str(pred[0], base_vars, con_dag)
    base += add_d_term_str(d_term)
    power = lambda_to_str(mult[1]) + idx_str(pred[1], base_vars, con_dag)
    new_power = power + ' - 1.0'
    args=(pred[0],assign(seen,pred[0]),lmul_d_term_str(mult[0]),power,base,new_power,n)  
    print('u%d %s %s(%s) * pow(%s, %s) * u%d' % args)   

def print_node(n, d, con_dag, base_vars, seen):

# Path: sdopt/nodes/attributes.py
# class NodeAttr:
#     bounds    =  1
#     con_num   =  2
#     d_term    =  3
#     display   =  4
#     input_ord =  5
#     n_term    =  6
#     name      =  7
#     node_id   =  8
#     number    =  9
#     operation = 10
#     type      = 11
#     var_num   = 12
# 
# Path: sdopt/representation/dag_util.py
# def get_pretty_type_str(dag, n):
#     return dag.node[n][NodeAttr.type] + '_node'
# 
# Path: sdopt/util/stringIO.py

# 
# Path: sdopt/util/redirect_stdout.py
# @contextmanager
# def redirect_stdout(ostream):
#     oldstdout = sys.stdout
#     sys.stdout = ostream
#     try:
#         yield ostream
#     finally:
#         sys.stdout = oldstdout


# Path: sdopt/nodes/reverse_ad.py
import math
from operator import itemgetter
from string import Template
from contextlib import closing
from six.moves import zip as izip
from ..nodes.attributes import NodeAttr
from ..representation.dag_util import get_pretty_type_str
from ..util.stringIO import stringIO
from ..util.redirect_stdout import redirect_stdout

    # u_j  (+)= lam_j*(1/lnarg)*u_i
    lnarg_recip = 'lnarg_recip_%d' % n
    print('%s = 1.0/(%s)' % (lnarg_recip, lin_comb_str(n,d,con_dag,base_vars)))
    for lam, node in gen_inedge_mult(n, d, con_dag):
        args = (node, assign(seen,node), lmul_d_term_str(lam), lnarg_recip, n)
        print('u%d %s %s%s * u%d' % args)
        
def sqr_node_rev(n, d, con_dag, base_vars, seen):
    # t_i  = sqr(lam_j*t_j + ...)
    # sqrarg   = lam_j*t_j + ...
    # u_j (+)= 2.0*lam_j*sqrarg*u_i
    sqrarg = 'sqrarg_%d' % n
    print('%s = 2.0*%s' % (sqrarg, lin_comb_str(n,d,con_dag,base_vars)))
    for lam, node in gen_inedge_mult(n, d, con_dag):
        args = (node, assign(seen,node), lmul_d_term_str(lam), sqrarg, n)
        print('u%d %s %s%s * u%d' % args)

def pow_node_rev(n, d, con_dag, base_vars, seen):
    # t_i   = pow(base, power)
    # u_j (+)= lam_j*power*pow(base, power-1)*u_i
    mult, pred = binary_node_inedge_mult(n, d, con_dag)
    d_term = d.get(NodeAttr.d_term, 0.0)
    base  = lambda_to_str(mult[0]) + idx_str(pred[0], base_vars, con_dag)
    base += add_d_term_str(d_term)
    power = lambda_to_str(mult[1]) + idx_str(pred[1], base_vars, con_dag)
    new_power = power + ' - 1.0'
    args=(pred[0],assign(seen,pred[0]),lmul_d_term_str(mult[0]),power,base,new_power,n)  
    print('u%d %s %s(%s) * pow(%s, %s) * u%d' % args)   

def print_node(n, d, con_dag, base_vars, seen):

    fmt = get_pretty_type_str(con_dag, n) + '_rev'