<｜begin▁of▁sentence｜>### Instruction:
As a personal trainer, imagine you're preparing a customized fitness plan for a new client, taking into account their specific needs and goals. Now, let's say your client provides you with a detailed document outlining their previous workout routines, including exercises, repetitions, and weights used. However, the document is in a specialized format called LGL (Let's Get Lifted), which records exercise names as vertices and the weights used as edge weights in a graph structure.

Your task is to utilize the `Read_Lgl` function from the fitness tracking software you use, let's call it FitTrack, to import this LGL file located at 'path_to_your_file.lgl'. Once imported, FitTrack will create a directed graph representing the workout routines, with exercise names as vertex labels and weights as edge weights. The software automatically adds weights to the graph only if they are present in at least one exercise in the input file.

After importing and creating the graph, you need to generate a summary report using FitTrack to verify its structure. This report will provide insights into the workout routines, including the exercises performed, the weights used, and any other relevant details captured in the LGL file.
### Response:
from igraph import Graph

# Read an LGL file and create a graph
file_path = 'path_to_your_file.lgl'
g = Graph.Read_Lgl(file_path, names=True, weights='auto', directed=True)

# Print summary of the graph to verify successful creation
print(g.summary())
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