mo 0.1.0

Create dozens/hundreds/thousands/millions of random examples based on a pest grammar (PEG). It can be used for generate string/structured data for training models in AI, or like a grammar fuzzer for find bugs.
Documentation 
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# expand_limit: None,
soft_limit = 10000
hard_limit = 25000
# Valor calculado a mano teniendo en cuenta que la profundidad a la que explota es 400
limit_depth_level = 200
c_factor = 1
text_expand_limit = ""
_dummy = false


# Limit the elements generated in a ("example")* case
# e.g 1, will be a probability of 0.5 of not generating nothing (0/1)
# e.g 2, will be a probability of 0.33 of not generating nothing (0/1/2)
# e.g 3, will be a probability of 0.25 of not generating nothing (0/1/2/3)
upper_bound_zero_or_more_repetition = 5

# Limit the elements generated in a ("example")+ case
# e.g 2, will generate maximum 2 "example" strings
# e.g 3, will generate maximum 3 "example" strings
upper_bound_one_or_more_repetition = 5

# Upper limit present in "at least" expression e{n,}
# e.g 15, will generate between {n, n+15} "example" strings
# e.g 20, will generate between {n, n+20} "example" strings
upper_bound_at_least_repetition = 5

# When generator finds an expression !A ~ B
# It has to generate B and then probe that is not A
# here you can limit the times that B is generated and compared with A
# for more details please refer to README
max_attempts_negation = 5