# Path: sdopt/nodes/types.py
# def is_sum_node(node_dict):
#     return node_dict[NodeAttr.type] == ntype.SUM
# 
# def is_var_node(node_dict):
#     return node_dict[NodeAttr.type] == ntype.VAR
# 
# 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


from array import array
from collections import defaultdict
from ..nodes.types import is_sum_node, is_var_node
from ..nodes.attributes import NodeAttr
    from matplotlib import pyplot as plt
import networkx as nx
import six
    d_term = d.get(NodeAttr.d_term, 0.0) - d[NodeAttr.bounds].l# l == u == rhs
    d[NodeAttr.d_term] = d_term                                #already asserted
    del d[NodeAttr.bounds]
    d[NodeAttr.input_ord].remove(var_node_id)

def replace(arr, old_value, new_value):
    for index, item in enumerate(arr):
        if item==old_value:
            arr[index] = new_value

def add_keep_smaller_value(mapping, key, value):
    # mapping[key]=value BUT if key is already present, keeps smaller value
    old_value = mapping.get(key,  value)
    mapping[key] = min(old_value, value)

def assert_source(dag, node_id):
    assert is_source(dag, node_id), 'node %d %s' % (node_id, dag.node[node_id])

def assert_CSE_defining_constraints(dag, con_ends, base_vars):
    # A constraint (sum) node immediately followed by a defined var node; with
    # an edge from the var node to the sum node; and the rhs of the constraint
    # is a real number, not an interval.
    # Basically: lambda * <var node> + <some sum> + d = bounds
    # <N> c 20 145
    # <145> b [0,0]: +
    # <146> V 20
    # <E> 145 146 -1
    for n in con_ends:
        # check the sum_node
        d = dag.node[n]

# Path: sdopt/nodes/types.py
# def is_sum_node(node_dict):
#     return node_dict[NodeAttr.type] == ntype.SUM
# 
# def is_var_node(node_dict):
#     return node_dict[NodeAttr.type] == ntype.VAR
# 
# 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
from array import array
from collections import defaultdict
from ..nodes.types import is_sum_node, is_var_node
from ..nodes.attributes import NodeAttr
    from matplotlib import pyplot as plt
import networkx as nx
import six

    d_term = d.get(NodeAttr.d_term, 0.0) - d[NodeAttr.bounds].l# l == u == rhs
    d[NodeAttr.d_term] = d_term                                #already asserted
    del d[NodeAttr.bounds]
    d[NodeAttr.input_ord].remove(var_node_id)

def replace(arr, old_value, new_value):
    for index, item in enumerate(arr):
        if item==old_value:
            arr[index] = new_value

def add_keep_smaller_value(mapping, key, value):
    # mapping[key]=value BUT if key is already present, keeps smaller value
    old_value = mapping.get(key,  value)
    mapping[key] = min(old_value, value)

def assert_source(dag, node_id):
    assert is_source(dag, node_id), 'node %d %s' % (node_id, dag.node[node_id])

def assert_CSE_defining_constraints(dag, con_ends, base_vars):
    # A constraint (sum) node immediately followed by a defined var node; with
    # an edge from the var node to the sum node; and the rhs of the constraint
    # is a real number, not an interval.
    # Basically: lambda * <var node> + <some sum> + d = bounds
    # <N> c 20 145
    # <145> b [0,0]: +
    # <146> V 20
    # <E> 145 146 -1
    for n in con_ends:
        # check the sum_node
        d = dag.node[n]

        assert is_sum_node(d), 'expected a sum_node, found: %s' % d