This method is used to compare the receiver object (this
)
with the argument object (arg0
) for equivalence
This method is used to compare the receiver object (this
)
with the argument object (arg0
) for equivalence.
The default implementations of this method is an equivalence relation:
x
of type Any
,
x.equals(x)
should return true
.x
and y
of type
Any
, x.equals(y)
should return true
if and only
if y.equals(x)
returns true
.x
, y
, and z
of type AnyRef
if x.equals(y)
returns true
and
y.equals(z)
returns
true
, then x.equals(z)
should return true
.
If you override this method, you should verify that
your implementation remains an equivalence relation.
Additionally, when overriding this method it is often necessary to
override hashCode
to ensure that objects that are
"equal" (o1.equals(o2)
returns true
)
hash to the same Int
(o1.hashCode.equals(o2.hashCode)
).
the object to compare against this object for equality.
true
if the receiver object is equivalent to the argument; false
otherwise.
Returns a hash code value for the object
Returns a hash code value for the object.
The default hashing algorithm is platform dependent.
Note that it is allowed for two objects to have identical hash
codes (o1.hashCode.equals(o2.hashCode)
) yet not be
equal (o1.equals(o2)
returns false
). A
degenerate implementation could always return 0
.
However, it is required that if two objects are equal
(o1.equals(o2)
returns true
) that they
have identical hash codes
(o1.hashCode.equals(o2.hashCode)
). Therefore, when
overriding this method, be sure to verify that the behavior is
consistent with the equals
method.
Returns a pseudorandomly generated String drawing upon only ASCII characters between 33 and 126
Returns a pseudorandomly generated String drawing upon only ASCII characters between 33 and 126.
Returns the next pseudorandom, uniformly distributed boolean value from this random number generator's sequence
Returns the next pseudorandom, uniformly distributed boolean value from this random number generator's sequence.
Generates random bytes and places them into a user-supplied byte array
Generates random bytes and places them into a user-supplied byte array.
Returns the next pseudorandom, uniformly distributed double value between 0
Returns the next pseudorandom, uniformly distributed double value between 0.0 and 1.0 from this random number generator's sequence.
Returns the next pseudorandom, uniformly distributed float value between 0
Returns the next pseudorandom, uniformly distributed float value between 0.0 and 1.0 from this random number generator's sequence.
Returns the next pseudorandom, Gaussian ("normally") distributed double value with mean 0
Returns the next pseudorandom, Gaussian ("normally") distributed double value with mean 0.0 and standard deviation 1.0 from this random number generator's sequence.
Returns a pseudorandom, uniformly distributed int value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence
Returns a pseudorandom, uniformly distributed int value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.
Returns the next pseudorandom, uniformly distributed int value from this random number generator's sequence
Returns the next pseudorandom, uniformly distributed int value from this random number generator's sequence.
Returns the next pseudorandom, uniformly distributed long value from this random number generator's sequence
Returns the next pseudorandom, uniformly distributed long value from this random number generator's sequence.
Returns a pseudorandomly generated String
Returns a pseudorandomly generated String. This routine does not take any measures to preserve the randomness of the distribution in the face of factors like unicode's variable-length encoding, so please don't use this for anything important. It's primarily intended for generating test data.
the desired length of the String
the String
Returns a string representation of the object
Returns a string representation of the object.
The default representation is platform dependent.
Creates a new random number generator
Creates a new random number generator.
Creates a new random number generator using a single integer seed
Creates a new random number generator using a single integer seed.
Creates a new random number generator using a single long seed
Creates a new random number generator using a single long seed.