def s_random(value,
min_length,
max_length,
num_mutations=25,
fuzzable=True,
step=None,
name=None):
'''
Generate a random chunk of data while maintaining a copy of the original. A random length range can be specified.
For a static length, set min/max length to be the same.
@type value: Raw
@param value: Original value
@type min_length: Integer
@param min_length: Minimum length of random block
@type max_length: Integer
@param max_length: Maximum length of random block
@type num_mutations: Integer
@param num_mutations: (Optional, def=25) Number of mutations to make before reverting to default
@type fuzzable: Boolean
@param fuzzable: (Optional, def=True) Enable/disable fuzzing of this primitive
@type step: Integer
@param step: (Optional, def=None) If not null, step count between min and max reps, otherwise random
@type name: String
@param name: (Optional, def=None) Specifying a name gives you direct access to a primitive
'''
random = primitives.random_data(value, min_length, max_length,
num_mutations, fuzzable, step, name)
blocks.CURRENT.push(random)
def s_random(value, min_length, max_length, num_mutations=25, fuzzable=True, step=None, heuristic=None, name=None):
"""
Generate a random chunk of data while maintaining a copy of the original. A random length range can be specified.
For a static length, set min/max length to be the same.
@type value: Raw
@param value: Original value
@type min_length: Integer
@param min_length: Minimum length of random block
@type max_length: Integer
@param max_length: Maximum length of random block
@type num_mutations: Integer
@param num_mutations: (Optional, def=25) Number of mutations to make before reverting to default
@type fuzzable: Boolean
@param fuzzable: (Optional, def=True) Enable/disable fuzzing of this primitive
@type step: Integer
@param step: (Optional, def=None) If not null, step count between min and max reps, otherwise random
@param heuristic: (Optional, def=None) Heuristic to compute a list of wanted random value length
@type name: String
@type name: String
@param name: (Optional, def=None) Specifying a name gives you direct access to a primitive
"""
random = primitives.random_data(value, min_length, max_length, num_mutations, fuzzable, step, heuristic, name)
blocks.CURRENT.push(random)
def s_random (value, min_length, max_length, num_mutations=25, fuzzable=True, name=None):
'''
Generate a random chunk of data while maintaining a copy of the original. A random length range can be specified.
For a static length, set min/max length to be the same.
@type value: Raw
@param value: Original value
@type min_length: Integer
@param min_length: Minimum length of random block
@type max_length: Integer
@param max_length: Maximum length of random block
@type num_mutations: Integer
@param num_mutations: (Optional, def=25) Number of mutations to make before reverting to default
@type fuzzable: Boolean
@param fuzzable: (Optional, def=True) Enable/disable fuzzing of this primitive
@type name: String
@param name: (Optional, def=None) Specifying a name gives you direct access to a primitive
'''
random = primitives.random_data(value, min_length, max_length, num_mutations, fuzzable, name)
blocks.CURRENT.push(random)
def push_bson_doc(self, doc):
self.block.push(random_data(BSON.encode(doc), min_length=0,
max_length=MAX_BSON_SIZE))