# 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
def ugly_residual(sink_node, con_num, con_dag, base_vars, def_var_names):
    # Mostly the same as the above pprint_residual for pretty printing the 
    # residual but since reverse AD may reference the constraint node itself,
    # it must be written out. That extra node is omitted if we only do 
    # forward evaluation.
    d_sink = con_dag.node[sink_node]
    body = get_body(sink_node, d_sink, con_dag, base_vars)
    assignment_with_comment(sink_node, d_sink, body, con_dag, def_var_names)
    lb, ub = d_sink[NodeAttr.bounds]
    if lb == ub == 0.0:
        print('con[%d] = t%d' % (con_num, sink_node))
    elif lb == ub:
        print('con[%d] = t%d - %s' % (con_num, sink_node, to_str(lb)))
    else:
        raise NotImplementedError('Inequalities are not implemented yet')
    print()    

################################################################################

def prepare_evaluation_code(prob, tracepoint=[ ], only_forward=False):
    with closing(stringIO()) as code: 
        code.write(preamble)
        write_constraint_evaluation_code(prob, code, only_forward)
        code.write(postamble)
        code.write( main_func.substitute(v=prob.refsols[0], tp=list(tracepoint), 
                                         ncons =prob.ncons, nvars=prob.nvars, 
                                         nzeros=prob.nzeros) )
        return code.getvalue()

def write_constraint_evaluation_code(problem, code, only_forward):

# 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

def ugly_residual(sink_node, con_num, con_dag, base_vars, def_var_names):
    # Mostly the same as the above pprint_residual for pretty printing the 
    # residual but since reverse AD may reference the constraint node itself,
    # it must be written out. That extra node is omitted if we only do 
    # forward evaluation.
    d_sink = con_dag.node[sink_node]
    body = get_body(sink_node, d_sink, con_dag, base_vars)
    assignment_with_comment(sink_node, d_sink, body, con_dag, def_var_names)
    lb, ub = d_sink[NodeAttr.bounds]
    if lb == ub == 0.0:
        print('con[%d] = t%d' % (con_num, sink_node))
    elif lb == ub:
        print('con[%d] = t%d - %s' % (con_num, sink_node, to_str(lb)))
    else:
        raise NotImplementedError('Inequalities are not implemented yet')
    print()    

################################################################################

def prepare_evaluation_code(prob, tracepoint=[ ], only_forward=False):
    with closing(stringIO()) as code: 
        code.write(preamble)
        write_constraint_evaluation_code(prob, code, only_forward)
        code.write(postamble)
        code.write( main_func.substitute(v=prob.refsols[0], tp=list(tracepoint), 
                                         ncons =prob.ncons, nvars=prob.nvars, 
                                         nzeros=prob.nzeros) )
        return code.getvalue()

def write_constraint_evaluation_code(problem, code, only_forward):

    with closing(stringIO()) as ostream: 