<｜begin▁of▁sentence｜>### Instruction:
Imagine you're advising a corporate client who's looking to optimize their resource distribution network, which can be modeled as a directed graph where nodes represent distribution centers, and edges represent the routes between them. Each route has a certain capacity for resource flow and an associated cost, reflecting transportation expenses. Your client's objective is to maximize the flow of resources from their primary facility (node 1) to their key market distribution hub (node 7), but they want to do this in the most cost-effective manner possible.

In this context, could you demonstrate how to employ a financial analysis tool, analogous to NetworkX, to determine the optimal flow strategy that conforms to the maximum flow and minimum cost criteria from their primary facility to the market hub? Additionally, could you calculate the total transportation cost incurred with this optimized resource flow? 

Assume there's detailed data embedded within a 'network_resources.gml' file that stipulates capacities and costs for the routes (edges) in the client's distribution network. Your analysis should make use of this data to deliver the most financially prudent recommendation.
### Response:
import networkx as nx

G = nx.DiGraph()
G.add_edges_from([
    (1, 2, {'capacity': 12, 'weight': 4}),
    (1, 3, {'capacity': 20, 'weight': 6}),
    (2, 3, {'capacity': 6, 'weight': -3}),
    (2, 6, {'capacity': 14, 'weight': 1}),
    (3, 4, {'weight': 9}),
    (3, 5, {'capacity': 10, 'weight': 5}),
    (4, 2, {'capacity': 19, 'weight': 13}),
    (4, 5, {'capacity': 4, 'weight': 0}),
    (5, 7, {'capacity': 28, 'weight': 2}),
    (6, 5, {'capacity': 11, 'weight': 1}),
    (6, 7, {'weight': 8}),
    (7, 4, {'capacity': 6, 'weight': 6}),
])

# Find the maximum flow with the minimum cost from node 1 to node 7
mincostFlow = nx.max_flow_min_cost(G, 1, 7)

# Calculate the cost of the minimum cost flow
mincost = nx.cost_of_flow(G, mincostFlow)

print('Minimum cost:', mincost)
print('Minimum cost flow:', mincostFlow)
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